Managing Director (CEO) Helionox GmbH ? Lead Software Engineer ? Senior DevOps Engineer
Aktualisiert am 10.08.2026
Profil
Mitarbeiter eines Dienstleisters
Remote-Arbeit
Verfügbar ab: 10.08.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters

Einsatzorte

Einsatzorte

Frankfurt am Main (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

11 months
2025-10 - now

Management & Technology Consulting ? AI, Cloud & Cybersecurity

Lead Software Engineer, DevOps Engineer Python TypeScript/JavaScript Svelte/React ...
Lead Software Engineer, DevOps Engineer
  • Initial Situation & Goal: Advisory and operational support of companies in digital transformation, AI integration, and modernization of IT infrastructures.
  • Deliverable & Impact: End-to-end delivery of Cloud/Kubernetes platforms, Agentic AI systems, and compliance solutions with measurable efficiency gains and risk reduction.
    • ?Tasks & Methodology:
        • Building and managing a company for management & technology consulting as well as project implementation.
        • Responsibility for strategy, go-to-market, sales/pipeline, partner ecosystem, and delivery quality.
          • Implementation of Agentic AI workflows (RAG, Tool-Use, Orchestration, Guardrails/Evals) from roadmap to operations (LLMOps).
          • Consulting on AI Risk & Governance (e.g., ISO/IEC 42001-oriented processes), Secure SDLC/DevSecOps, Zero-Trust/IAM.
          • Delivery of Cloud/K8s platforms (Terraform/OpenTofu, Kubernetes, Observability) and Data/ML pipelines (Airflow/Kafka)
        Python TypeScript/JavaScript Svelte/React PostgreSQL/Oracle/BigQuery GCP/AWS/Azure Docker/Kubernetes RAG (LangChain/LlamaIndex) vLLM/TensorRT-LLM MLflow/W&B/Kubeflow OpenTelemetry/Prometheus/Grafana/Splunk Terraform/OpenTofu/Ansible/Helm OpenZiti OIDC/OAuth2 Vault
        4 years 10 months
        2021-04 - 2026-01

        Enterprise Operational Risk & Governance Suite

        Project Lead & Senior Lead Engineer Python (pandas NumPy SciPy) ...
        Project Lead & Senior Lead Engineer
        • Initial Situation & Goal: Management, monitoring, and regulatory compliance of approx. 20% of the bank's operational risk (approx. 12 bn USD).
        • Deliverable & Impact: Provisioning of two business-critical software platforms (~400 daily users) to prevent regulatory fraud risks and enable precise risk sensitivity calculations.
        • Tasks & Methodology:
          • Led two large-scale software development projects involving team leadership and hands-on development.
          • Benchmark Regulation Governance Software: Monitoring/calculating index-related metrics; deriving countermeasures against fraudulent behavior.
          • Reset-Risk-Tool: Present value sensitivities on a fixing file basis after shock scenarios for the books of the entire investment bank.
          • Governance Dashboard for Non-Deliverable Forwards (NDFs) and Foreign Exchange Options (FXOs) (Exposure, Lifecycle, Regulatory Compliance, Settlement).
          • ?Stakeholder management (Risk, Treasury, Compliance); code reviews, testing, CI/CD; API-First for internal services.
        Python (pandas NumPy SciPy) Matlab TypeScript/JavaScript FastAPI/Flask PL/SQL Oracle Git CI/CD (GitLab/GitHub Actions) Perforce Docker Agile/Scrum
        Deutsche Bank: Investment Bank
        3 years 7 months
        2022-06 - 2025-12

        Ergonomic Hardware & E-Commerce Platform

        Lead Engineer & Architect Tech Stack: KiCad FreeCAD QMK/ZMK/Zephyr ...
        Lead Engineer & Architect
        • Initial Situation & Goal: Development and sales of highly customizable, ergonomic split keyboards.
        • Deliverable & Impact: Complete hardware product and modern e-commerce platform in Svelte and Three.js.
        • Tasks & Methodology:
          • Designed and built modern, ergonomic split keyboards to reduce wrist strain, increase productivity, and improve human-computer interaction compared to conventional keyboards.
          • Led the full hardware development cycle: electronics design, PCB manufacturing and automation, 3D printing of enclosures, firmware development, and quality testing.
          • End-to-end product delivery involving parts procurement, production control, and international sales.
          • Built a custom e-commerce platform using Shopify (Backend) and Svelte (Frontend).
        Tech Stack: KiCad FreeCAD QMK/ZMK/Zephyr Make Svelte/SvelteKit Three.js JLCPCB Shopify (Liquid)
        Kamo Keyboards GmbH
        6 months
        2025-01 - 2025-06

        Last Mile Logistics Warehouse Identification & Computer Vision Platform

        Lead DevOps & AI Engineer Python Docker geopandas ...
        Lead DevOps & AI Engineer
        • Initial Situation & Goal: Automated identification, segmentation, and catchment area analysis of industrial logistics properties in Germany.
        • Deliverable & Impact: AI-powered geospatial & computer vision platform for accelerated infrastructure planning and site evaluation.
        • Tasks & Methodology:
          • Conducted geospatial analyses to identify and map industrial warehouses in Germany using data science and mapping tools (e.g., geopandas, Open Geospatial Consortium).
          • Collected and processed data on industrial areas and developed estimators to calculate population accessibility ? measuring the population within specific travel times per location.
          • Procured high-resolution satellite imagery and trained computer vision models (YOLOv11, SAHI, SAM2) for the detection, segmentation, and classification of warehouses based on KPIs.
          • Combined spatial data with AI-driven insights to support strategic decision-making in infrastructure planning and market analysis.
        Python Docker geopandas httpx asyncio owslib PyTorch YOLOv11/SAHI/SAM2 CVAT Git
        Mileway
        6 months
        2022-04 - 2022-09

        Trade & Deal Workflow Orchestration & ML Prototyping

        Senior Lead Engineer Python (pandas NumPy scikit-learn) ...
        Senior Lead Engineer
        • Initial Situation & Goal: Automation of complex trade and deal workflows as well as fulfilling regulatory reporting requirements.
        • Deliverable & Impact: Development of scalable orchestration software and ML prototypes to accelerate and secure business-critical settlement processes.
        • Tasks & Methodology:
          • Hybrid role of Quant & Software Engineering; modeling regulatory reports and developing scalable tools.
          • Application of advanced quantitative methods combined with software engineering expertise to develop scalable solutions for business-critical processes.
          •  Design, development, and maintenance of orchestration software to control and automate trade and deal workflows.
          • ?ML Prototyping with scikit-learn/PyTorch; providing evaluations via REST.
        Python (pandas NumPy scikit-learn) C++ PL/SQL Git CI/CD REST APIs (FastAPI/Flask) Agile/Scrum Quantitative Finance
        Deutsche Bank: Corporate Bank
        5 months
        2021-12 - 2022-04

        Google Cloud Platform Infrastructure & Machine Learning Platform Enablement

        Senior Cloud Engineer Google Cloud Platform GCP (Compute IAM Dataproc ...
        Senior Cloud Engineer
        • Initial Situation & Goal: Provision of a secure, regulatorily compliant GCP infrastructure for Advanced Analytics and Machine Learning.
        • Deliverable & Impact: Compliant GCP environment with Vertex AI enablement and audit-proof JupyterHub platform for data science teams.
        • Tasks & Methodology:
          • Infrastructure as Code (IaC) with Terraform for compliant GCP infrastructure; enablement for Vertex AI.
          • Rollout of a JupyterHub environment on Dataproc incl. audit logging & security guardrails.
          • ?Establishment of IaC best practices (code quality, maintainability, efficiency).
        Google Cloud Platform GCP (Compute IAM Dataproc Vertex AI) Terraform Git CI/CD JupyterHub Cloud Logging/Monitoring Agile/Scrum
        Deutsche Bank: Private Bank
        5 months
        2021-08 - 2021-12

        Reinforcement Learning Portfolio & Volatility Backtesting Framework

        AI Engineer Python (PyTorch NumPy Pandas) ...
        AI Engineer
        • Initial Situation & Goal: Optimization of dynamic asset allocation strategies in a lifecycle context and increasing computational efficiency of portfolio backtests.
        • Deliverable & Impact: Modern RL framework to solve the Merton Portfolio Problem and high-performance Python backtesting model with stochastic volatility estimation.
        • Tasks & Methodology:
          • Built a Reinforcement Learning framework to solve the Merton Portfolio Problem in a lifecycle context, learning utility-maximizing investment strategies under varying assumptions (e.g., utility preferences, consumption behavior).
          • Refactored a Tobin Portfolio backtesting framework from MATLAB to Python, including the integration of GARCH and ARCH models for volatility estimation.
          • Analyzed and compared the performance and optimization behavior of both implementations, identifying model sensitivities and increasing computational efficiency and flexibility.
        Python (PyTorch NumPy Pandas) Matlab Git Reinforcement Learning (TD3) ARIMA/GARCH Agile/Scrum
        DWS Group
        5 months
        2021-04 - 2021-08

        Core Banking Credit Limit Orchestration & Monitoring Platform

        Software Engineer & DevOps Engineer Microservices Java/Spring Boot OpenAPI ...
        Software Engineer & DevOps Engineer
        • Initial Situation & Goal: Real-time control and seamless monitoring of overnight and intraday credit limits for corporate clients.
        • Deliverable & Impact: Fail-safe Java/Spring Boot microservices architecture and central Splunk monitoring dashboard to increase system observability.
        • Tasks & Methodology:
          • Developed and maintained backend services in a Microservices architecture using Java and Spring Boot for orchestrating overnight and intraday credit limits for corporate clients in compliance with risk policies.
          • Collaborated with frontend teams using React to deliver end-to-end features within the core banking platform.
          • Designed a central monitoring dashboard ("Single Pane of Glass") for CI/CD environments using Splunk for increased observability and responsiveness.
        Microservices Java/Spring Boot OpenAPI React.js Docker Git CI/CD (Jenkins/GitLab CI) Splunk
        Deutsche Bank: Corporate Bank
        6 months
        2020-11 - 2021-04

        Lifecycle Portfolio Optimization Engine with Deep Reinforcement Learning

        Software Engineer Python PyTorch NumPy ...
        Software Engineer
        •  Initial Situation & Goal: Determination of dynamic, utility-optimized investment strategies under complex economic boundary conditions.
        • Deliverable & Impact: Deep RL simulation model (TD3) for adaptive solution of the Merton Portfolio Problem over the investor lifecycle.
        • Tasks & Methodology:
          • Developed and implemented a lifecycle investment decision model using Deep Reinforcement Learning in Python (TD3 ? Twin Delayed Deep Deterministic Policy Gradient) to determine dynamic, utility-optimized portfolio strategies over an investor's lifecycle.
          • ?Applied neural network architectures to simulate and learn optimal asset allocation policies under varying economic and behavioral parameters for the Merton Portfolio problem.
        Python PyTorch NumPy Monte-Carlo-Simulation RL git
        10 months
        2020-03 - 2020-12

        High-Precision Spectroscopy Analytics & Automation Suite

        Software Engineer Python numpy pandas ...
        Software Engineer
        • Initial Situation & Goal: Automation and precision enhancement of experimental data acquisition and analysis in physical laser spectroscopy.
        • Deliverable & Impact: Full-stack analysis section software in daily productive operation (>20 researchers) with direct impact on peer-reviewed publications.
        • Tasks & Methodology:
          • Led the development of a full-stack software project from the backend to the graphical user interface.
          • Targeted academic research workflows; actively used daily by >20 users and contributed significantly to multiple publications with co-authorship.
          • ?Maintained and advanced over 1,800+ commits in a GitHub repository with a focus on continuous improvement and collaboration.
        Python numpy pandas pyqt5 matplotlib pyqtgraph pyserial git LabView
        Goethe University Frankfurt
        3 months
        2019-04 - 2019-06

        Stochastic Term Structure & Yield Curve Forecasting Model

        Software Developer Matlab Stochastic Differential Equations Maximum Likelihood Estimator ...
        Software Developer
        • Initial Situation & Goal: Modeling and precise forecasting of dynamic yield curves in financial markets.
        • Deliverable & Impact: Stochastic estimation model in MATLAB (CIR framework with Kalman Filter) with high mathematical robustness.
        • Tasks & Methodology:
          • Developed and implemented a term structure prediction model in MATLAB based on the multivariate Cox?Ingersoll?Ross (CIR) framework combined with a Kalman Filter.
          • ?Applied advanced stochastic modeling to estimate interest rate dynamics and improve the forecasting accuracy of yield curves.
        Matlab Stochastic Differential Equations Maximum Likelihood Estimator git

        Aus- und Weiterbildung

        Aus- und Weiterbildung

        3 years 1 month
        2017-01 - 2020-01

        B.Sc. Economics and Business Administration

        Bachelor of Science, Goethe University
        Bachelor of Science
        Goethe University
        • Full-time third degree parallel to Biophysics studies.
        • Focus: Finance & Accounting.
        6 years 1 month
        2014-01 - 2020-01

        M.Sc. Biophysics ? Grade: 1.0

        Master of Science, Goethe University
        Master of Science
        Goethe University
        • Scholarship: Deutschlandstipendium (2018?2019)
        • Interdisciplinary studies of the three major natural sciences with the following focus profile: Physics 70%, Chemistry 20%, Biology 10%.
        4 years 1 month
        2014-01 - 2018-01

        B.Sc. Biophysics

        Bachelor of Science, Goethe University
        Bachelor of Science
        Goethe University
        • Bachelor's Thesis: Blood sample analysis in industrial cooperation with IRUBIS GmbH.

        Position

        Position

        Managing Director (CEO) Helionox GmbH ? Lead Software Engineer ? Senior DevOps Engineer

        Experience in developing quantitative models and building enterprise software solutions. Implementation of AI initiatives in financial markets. Leading teams to build critical governance and risk management tools for institutional use. Currently Managing Director (CEO) of Helionox GmbH with a focus on consulting and direct implementation within the areas of AI (GenAI/Agentic AI, NLP), Cloud/DevOps, Software Engineering, and Cybersecurity.

        • Roles: Project Management (Classic & Agile), Enterprise Full Stack Development, Quant/Analytics, AI Implementation (GenAI & Agentic AI), DevOps/Cloud, Cybersecurity Engineering & Audit.
        • Industry Focus: Financial industry (market & credit risk, governance), technology industry, and manufacturing industry.
        • Methods/Architecture: Domain-Driven Design (DDD), Event-Driven Architecture, Microservices, API-First/Contract-Testing, Scrum/Kanban.

        Kompetenzen

        Kompetenzen

        Programmiersprachen

        Python
        Experte
        Java
        Fortgeschritten
        Rust
        Fortgeschritten
        Matlab
        Fortgeschritten
        Node.js
        Fortgeschritten
        Svelte
        Fortgeschritten
        React
        Basics
        Tailwind
        Experte
        Typescript
        Fortgeschritten

        Datenbanken

        PostgreSQL
        Fortgeschritten
        Oracle
        Fortgeschritten
        MySQL
        Fortgeschritten
        MariaDB
        Fortgeschritten
        Redis
        Fortgeschritten
        BigQuery
        Fortgeschritten

        Einsatzorte

        Einsatzorte

        Frankfurt am Main (+500km)
        Deutschland, Schweiz, Österreich
        möglich

        Projekte

        Projekte

        11 months
        2025-10 - now

        Management & Technology Consulting ? AI, Cloud & Cybersecurity

        Lead Software Engineer, DevOps Engineer Python TypeScript/JavaScript Svelte/React ...
        Lead Software Engineer, DevOps Engineer
        • Initial Situation & Goal: Advisory and operational support of companies in digital transformation, AI integration, and modernization of IT infrastructures.
        • Deliverable & Impact: End-to-end delivery of Cloud/Kubernetes platforms, Agentic AI systems, and compliance solutions with measurable efficiency gains and risk reduction.
          • ?Tasks & Methodology:
              • Building and managing a company for management & technology consulting as well as project implementation.
              • Responsibility for strategy, go-to-market, sales/pipeline, partner ecosystem, and delivery quality.
                • Implementation of Agentic AI workflows (RAG, Tool-Use, Orchestration, Guardrails/Evals) from roadmap to operations (LLMOps).
                • Consulting on AI Risk & Governance (e.g., ISO/IEC 42001-oriented processes), Secure SDLC/DevSecOps, Zero-Trust/IAM.
                • Delivery of Cloud/K8s platforms (Terraform/OpenTofu, Kubernetes, Observability) and Data/ML pipelines (Airflow/Kafka)
              Python TypeScript/JavaScript Svelte/React PostgreSQL/Oracle/BigQuery GCP/AWS/Azure Docker/Kubernetes RAG (LangChain/LlamaIndex) vLLM/TensorRT-LLM MLflow/W&B/Kubeflow OpenTelemetry/Prometheus/Grafana/Splunk Terraform/OpenTofu/Ansible/Helm OpenZiti OIDC/OAuth2 Vault
              4 years 10 months
              2021-04 - 2026-01

              Enterprise Operational Risk & Governance Suite

              Project Lead & Senior Lead Engineer Python (pandas NumPy SciPy) ...
              Project Lead & Senior Lead Engineer
              • Initial Situation & Goal: Management, monitoring, and regulatory compliance of approx. 20% of the bank's operational risk (approx. 12 bn USD).
              • Deliverable & Impact: Provisioning of two business-critical software platforms (~400 daily users) to prevent regulatory fraud risks and enable precise risk sensitivity calculations.
              • Tasks & Methodology:
                • Led two large-scale software development projects involving team leadership and hands-on development.
                • Benchmark Regulation Governance Software: Monitoring/calculating index-related metrics; deriving countermeasures against fraudulent behavior.
                • Reset-Risk-Tool: Present value sensitivities on a fixing file basis after shock scenarios for the books of the entire investment bank.
                • Governance Dashboard for Non-Deliverable Forwards (NDFs) and Foreign Exchange Options (FXOs) (Exposure, Lifecycle, Regulatory Compliance, Settlement).
                • ?Stakeholder management (Risk, Treasury, Compliance); code reviews, testing, CI/CD; API-First for internal services.
              Python (pandas NumPy SciPy) Matlab TypeScript/JavaScript FastAPI/Flask PL/SQL Oracle Git CI/CD (GitLab/GitHub Actions) Perforce Docker Agile/Scrum
              Deutsche Bank: Investment Bank
              3 years 7 months
              2022-06 - 2025-12

              Ergonomic Hardware & E-Commerce Platform

              Lead Engineer & Architect Tech Stack: KiCad FreeCAD QMK/ZMK/Zephyr ...
              Lead Engineer & Architect
              • Initial Situation & Goal: Development and sales of highly customizable, ergonomic split keyboards.
              • Deliverable & Impact: Complete hardware product and modern e-commerce platform in Svelte and Three.js.
              • Tasks & Methodology:
                • Designed and built modern, ergonomic split keyboards to reduce wrist strain, increase productivity, and improve human-computer interaction compared to conventional keyboards.
                • Led the full hardware development cycle: electronics design, PCB manufacturing and automation, 3D printing of enclosures, firmware development, and quality testing.
                • End-to-end product delivery involving parts procurement, production control, and international sales.
                • Built a custom e-commerce platform using Shopify (Backend) and Svelte (Frontend).
              Tech Stack: KiCad FreeCAD QMK/ZMK/Zephyr Make Svelte/SvelteKit Three.js JLCPCB Shopify (Liquid)
              Kamo Keyboards GmbH
              6 months
              2025-01 - 2025-06

              Last Mile Logistics Warehouse Identification & Computer Vision Platform

              Lead DevOps & AI Engineer Python Docker geopandas ...
              Lead DevOps & AI Engineer
              • Initial Situation & Goal: Automated identification, segmentation, and catchment area analysis of industrial logistics properties in Germany.
              • Deliverable & Impact: AI-powered geospatial & computer vision platform for accelerated infrastructure planning and site evaluation.
              • Tasks & Methodology:
                • Conducted geospatial analyses to identify and map industrial warehouses in Germany using data science and mapping tools (e.g., geopandas, Open Geospatial Consortium).
                • Collected and processed data on industrial areas and developed estimators to calculate population accessibility ? measuring the population within specific travel times per location.
                • Procured high-resolution satellite imagery and trained computer vision models (YOLOv11, SAHI, SAM2) for the detection, segmentation, and classification of warehouses based on KPIs.
                • Combined spatial data with AI-driven insights to support strategic decision-making in infrastructure planning and market analysis.
              Python Docker geopandas httpx asyncio owslib PyTorch YOLOv11/SAHI/SAM2 CVAT Git
              Mileway
              6 months
              2022-04 - 2022-09

              Trade & Deal Workflow Orchestration & ML Prototyping

              Senior Lead Engineer Python (pandas NumPy scikit-learn) ...
              Senior Lead Engineer
              • Initial Situation & Goal: Automation of complex trade and deal workflows as well as fulfilling regulatory reporting requirements.
              • Deliverable & Impact: Development of scalable orchestration software and ML prototypes to accelerate and secure business-critical settlement processes.
              • Tasks & Methodology:
                • Hybrid role of Quant & Software Engineering; modeling regulatory reports and developing scalable tools.
                • Application of advanced quantitative methods combined with software engineering expertise to develop scalable solutions for business-critical processes.
                •  Design, development, and maintenance of orchestration software to control and automate trade and deal workflows.
                • ?ML Prototyping with scikit-learn/PyTorch; providing evaluations via REST.
              Python (pandas NumPy scikit-learn) C++ PL/SQL Git CI/CD REST APIs (FastAPI/Flask) Agile/Scrum Quantitative Finance
              Deutsche Bank: Corporate Bank
              5 months
              2021-12 - 2022-04

              Google Cloud Platform Infrastructure & Machine Learning Platform Enablement

              Senior Cloud Engineer Google Cloud Platform GCP (Compute IAM Dataproc ...
              Senior Cloud Engineer
              • Initial Situation & Goal: Provision of a secure, regulatorily compliant GCP infrastructure for Advanced Analytics and Machine Learning.
              • Deliverable & Impact: Compliant GCP environment with Vertex AI enablement and audit-proof JupyterHub platform for data science teams.
              • Tasks & Methodology:
                • Infrastructure as Code (IaC) with Terraform for compliant GCP infrastructure; enablement for Vertex AI.
                • Rollout of a JupyterHub environment on Dataproc incl. audit logging & security guardrails.
                • ?Establishment of IaC best practices (code quality, maintainability, efficiency).
              Google Cloud Platform GCP (Compute IAM Dataproc Vertex AI) Terraform Git CI/CD JupyterHub Cloud Logging/Monitoring Agile/Scrum
              Deutsche Bank: Private Bank
              5 months
              2021-08 - 2021-12

              Reinforcement Learning Portfolio & Volatility Backtesting Framework

              AI Engineer Python (PyTorch NumPy Pandas) ...
              AI Engineer
              • Initial Situation & Goal: Optimization of dynamic asset allocation strategies in a lifecycle context and increasing computational efficiency of portfolio backtests.
              • Deliverable & Impact: Modern RL framework to solve the Merton Portfolio Problem and high-performance Python backtesting model with stochastic volatility estimation.
              • Tasks & Methodology:
                • Built a Reinforcement Learning framework to solve the Merton Portfolio Problem in a lifecycle context, learning utility-maximizing investment strategies under varying assumptions (e.g., utility preferences, consumption behavior).
                • Refactored a Tobin Portfolio backtesting framework from MATLAB to Python, including the integration of GARCH and ARCH models for volatility estimation.
                • Analyzed and compared the performance and optimization behavior of both implementations, identifying model sensitivities and increasing computational efficiency and flexibility.
              Python (PyTorch NumPy Pandas) Matlab Git Reinforcement Learning (TD3) ARIMA/GARCH Agile/Scrum
              DWS Group
              5 months
              2021-04 - 2021-08

              Core Banking Credit Limit Orchestration & Monitoring Platform

              Software Engineer & DevOps Engineer Microservices Java/Spring Boot OpenAPI ...
              Software Engineer & DevOps Engineer
              • Initial Situation & Goal: Real-time control and seamless monitoring of overnight and intraday credit limits for corporate clients.
              • Deliverable & Impact: Fail-safe Java/Spring Boot microservices architecture and central Splunk monitoring dashboard to increase system observability.
              • Tasks & Methodology:
                • Developed and maintained backend services in a Microservices architecture using Java and Spring Boot for orchestrating overnight and intraday credit limits for corporate clients in compliance with risk policies.
                • Collaborated with frontend teams using React to deliver end-to-end features within the core banking platform.
                • Designed a central monitoring dashboard ("Single Pane of Glass") for CI/CD environments using Splunk for increased observability and responsiveness.
              Microservices Java/Spring Boot OpenAPI React.js Docker Git CI/CD (Jenkins/GitLab CI) Splunk
              Deutsche Bank: Corporate Bank
              6 months
              2020-11 - 2021-04

              Lifecycle Portfolio Optimization Engine with Deep Reinforcement Learning

              Software Engineer Python PyTorch NumPy ...
              Software Engineer
              •  Initial Situation & Goal: Determination of dynamic, utility-optimized investment strategies under complex economic boundary conditions.
              • Deliverable & Impact: Deep RL simulation model (TD3) for adaptive solution of the Merton Portfolio Problem over the investor lifecycle.
              • Tasks & Methodology:
                • Developed and implemented a lifecycle investment decision model using Deep Reinforcement Learning in Python (TD3 ? Twin Delayed Deep Deterministic Policy Gradient) to determine dynamic, utility-optimized portfolio strategies over an investor's lifecycle.
                • ?Applied neural network architectures to simulate and learn optimal asset allocation policies under varying economic and behavioral parameters for the Merton Portfolio problem.
              Python PyTorch NumPy Monte-Carlo-Simulation RL git
              10 months
              2020-03 - 2020-12

              High-Precision Spectroscopy Analytics & Automation Suite

              Software Engineer Python numpy pandas ...
              Software Engineer
              • Initial Situation & Goal: Automation and precision enhancement of experimental data acquisition and analysis in physical laser spectroscopy.
              • Deliverable & Impact: Full-stack analysis section software in daily productive operation (>20 researchers) with direct impact on peer-reviewed publications.
              • Tasks & Methodology:
                • Led the development of a full-stack software project from the backend to the graphical user interface.
                • Targeted academic research workflows; actively used daily by >20 users and contributed significantly to multiple publications with co-authorship.
                • ?Maintained and advanced over 1,800+ commits in a GitHub repository with a focus on continuous improvement and collaboration.
              Python numpy pandas pyqt5 matplotlib pyqtgraph pyserial git LabView
              Goethe University Frankfurt
              3 months
              2019-04 - 2019-06

              Stochastic Term Structure & Yield Curve Forecasting Model

              Software Developer Matlab Stochastic Differential Equations Maximum Likelihood Estimator ...
              Software Developer
              • Initial Situation & Goal: Modeling and precise forecasting of dynamic yield curves in financial markets.
              • Deliverable & Impact: Stochastic estimation model in MATLAB (CIR framework with Kalman Filter) with high mathematical robustness.
              • Tasks & Methodology:
                • Developed and implemented a term structure prediction model in MATLAB based on the multivariate Cox?Ingersoll?Ross (CIR) framework combined with a Kalman Filter.
                • ?Applied advanced stochastic modeling to estimate interest rate dynamics and improve the forecasting accuracy of yield curves.
              Matlab Stochastic Differential Equations Maximum Likelihood Estimator git

              Aus- und Weiterbildung

              Aus- und Weiterbildung

              3 years 1 month
              2017-01 - 2020-01

              B.Sc. Economics and Business Administration

              Bachelor of Science, Goethe University
              Bachelor of Science
              Goethe University
              • Full-time third degree parallel to Biophysics studies.
              • Focus: Finance & Accounting.
              6 years 1 month
              2014-01 - 2020-01

              M.Sc. Biophysics ? Grade: 1.0

              Master of Science, Goethe University
              Master of Science
              Goethe University
              • Scholarship: Deutschlandstipendium (2018?2019)
              • Interdisciplinary studies of the three major natural sciences with the following focus profile: Physics 70%, Chemistry 20%, Biology 10%.
              4 years 1 month
              2014-01 - 2018-01

              B.Sc. Biophysics

              Bachelor of Science, Goethe University
              Bachelor of Science
              Goethe University
              • Bachelor's Thesis: Blood sample analysis in industrial cooperation with IRUBIS GmbH.

              Position

              Position

              Managing Director (CEO) Helionox GmbH ? Lead Software Engineer ? Senior DevOps Engineer

              Experience in developing quantitative models and building enterprise software solutions. Implementation of AI initiatives in financial markets. Leading teams to build critical governance and risk management tools for institutional use. Currently Managing Director (CEO) of Helionox GmbH with a focus on consulting and direct implementation within the areas of AI (GenAI/Agentic AI, NLP), Cloud/DevOps, Software Engineering, and Cybersecurity.

              • Roles: Project Management (Classic & Agile), Enterprise Full Stack Development, Quant/Analytics, AI Implementation (GenAI & Agentic AI), DevOps/Cloud, Cybersecurity Engineering & Audit.
              • Industry Focus: Financial industry (market & credit risk, governance), technology industry, and manufacturing industry.
              • Methods/Architecture: Domain-Driven Design (DDD), Event-Driven Architecture, Microservices, API-First/Contract-Testing, Scrum/Kanban.

              Kompetenzen

              Kompetenzen

              Programmiersprachen

              Python
              Experte
              Java
              Fortgeschritten
              Rust
              Fortgeschritten
              Matlab
              Fortgeschritten
              Node.js
              Fortgeschritten
              Svelte
              Fortgeschritten
              React
              Basics
              Tailwind
              Experte
              Typescript
              Fortgeschritten

              Datenbanken

              PostgreSQL
              Fortgeschritten
              Oracle
              Fortgeschritten
              MySQL
              Fortgeschritten
              MariaDB
              Fortgeschritten
              Redis
              Fortgeschritten
              BigQuery
              Fortgeschritten

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