Finding new contracting projects with the possibility to renew
Aktualisiert am 10.09.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 09.09.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Data Science
stati
Python
Künstliche Intelligenz
Marketingprozesse
Machine Learning
Automatisierung
German
native (C2)
English
fluent (TOEFL 114)
Portuguese
basic
Japanese
basic
Latein
Latinum

Einsatzorte

Einsatzorte

Frankfurt am Main (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 Jahre 4 Monate
2023-06 - heute

FRTB Quantitative Risk & ML Classification Platform

Python (pandas/ NumPy/ scikit-learn/ Flask/Dash/ FastAPI) SQL (Oracle/ PostgreSQL) CSV Pipelines ...
  • Initial State & Goal: 
    • Compliance with the FRTB market risk framework, efficient identification of Non-Modellable Risk Factors (NMRF), and stabilization of critical calculation processes.
  • Deliverables & Impact: 
    • FRTB-compliant quantitative models, ML classifier for data reduction, and automated, high-availability Flask/Dash web application.
  • Tasks & Methodology:
    • 5+ years hands-on development and technical responsibility for mission-critical Python applications in a complex enterprise environment.
    • Development and optimization of high-performance algorithms for processing large datasets from multiple data sources (SQL databases/Oracle, CSV fixing files).
    • Utilization of Pandas, NumPy, Polars as well as Flask/Dash and FastAPI to design robust application architectures focused on data consistency, performance, and operational security.
    • Subject matter expertise for Non-Modellable Risk Factors (NMRF) focusing on regulatory compliance and quantitative innovation.
    • Design and implementation of a Flask/Dash web application to streamline and automate manual business processes.
    • Built and integrated a Machine Learning classifier to identify FRTB risk factors, reducing dataset sizes and improving computational efficiency.
    • Executed root cause analysis, incident resolution, ticket processing and monitoring for long-term operational availability.
    • Strict adherence to Git and Pull-Request workflows, automated tests, and CI/CD pipelines; close collaboration with internal stakeholders (Risk, Compliance, IT).
Python (pandas/ NumPy/ scikit-learn/ Flask/Dash/ FastAPI) SQL (Oracle/ PostgreSQL) CSV Pipelines Airflow (Batch Jobs) Kafka (Events) Git/Pull Requests OpenShift/ Kubernetes Helm Charts OpenTelemetry/Grafana PyTest
Deutsche Bank
Frankfurt am Main (DE)
4 Jahre 4 Monate
2022-06 - heute

Ergonomic Hardware & E-Commerce Configurator Platform

KiCad FreeCAD QMK/ZMK/Zephyr ...
  • Initial State & Goal: 
    • Development and distribution of highly customizable ergonomic split keyboards with interactive online product configuration.
  • Deliverables & Impact: 
    • Complete hardware product and modern e-commerce platform featuring a 3D product configurator in Svelte and Three.js.
  • Tasks & Methodology:
    • Designed and built ergonomic split keyboards to reduce wrist strain and improve humancomputer interaction.
    • Managed complete hardware development cycle ? electronics design, PCB manufacturing, 3D printing, firmware, and QA testing.
    • End-to-end delivery including part sourcing, production control, and international distribution.
    • Developed custom e-commerce platform using Shopify (Backend) and Svelte (Frontend) with Three.js 3D product configurator.
KiCad FreeCAD QMK/ZMK/Zephyr Make Svelte/SvelteKit Three.js JLCPCB Shopify (Liquid) Git
Kamo Keyboards GmbH
1 Jahr 2 Monate
2022-04 - 2023-05

Legacy Data Pipeline Refactoring & GCP Cloud Migration

Python (Pandas/ NumPy) PHP React ...
  • Initial State & Goal: 
    • Modernization of legacy data processing systems and cloud migration of core banking applications.
  • Deliverables & Impact: 
    • Memory-efficient batching pipeline, GitOps-ready CI/CD pipelines, and successful cloud migration to GCP.
  • Tasks & Methodology:
    • Refactoring and modernization of a legacy data pipeline (memory-efficient batching, modular abstractions, robust error handling in Python/PHP).
    • Enhancement of the CI/CD pipeline for controlled deployments across Dev/Test/Prod environments on OpenShift/Kubernetes.
    • Coordination of GCP Cloud Migration including enablement, documentation, and technical workshops.
    • Development of the Customer Journey for Corporate Bank products on the web offering channel using React and modern frontend technologies.
    • Introduced API-First/Contract Testing (OpenAPI/Pact), GitOps principles, and Security Checks (SAST/SCA) into the pipeline.
Python (Pandas/ NumPy) PHP React MySQL/PostgreSQL Google Cloud (Compute/ Cloud Run/ BigQuery) OpenShift/Kubernetes Helm Charts TeamCity GitHub Actions/GitLab CI OpenTofu/Terraform
Corporate Bank (Deutsche Bank)
Frankfurt am Main (DE)
5 Monate
2021-12 - 2022-04

IaC Infrastructure & Audit-Proof Analytics Workbench

GCP Terraform/OpenTofu Kubernetes/OpenShift ...
  • Initial State & Goal: 
    • Building a secure, scalable cloud infrastructure for advanced analytics and machine learning.
  • Deliverables & Impact: 
    • Terraform-driven GCP platform, Dataproc-JupyterHub with audit logging and Vertex AI enablement.
  • Tasks & Methodology:
    • Designed and implemented Infrastructure as Code using Terraform to provision scalable, compliant GCP & Kubernetes infrastructures.
    • Deployed and orchestrated applications via Helm Charts and Kubernetes/OpenShift manifests.
    • Enabled business units to leverage Vertex AI for advanced analytics & ML.
    • Designed & rolled out a JupyterHub environment on scalable Dataproc clusters adhering to compliance, cybersecurity and audit logging standards.
    • Established IaC best practices to increase code quality, maintainability and operational efficiency.
    • Set up Observability (Prometheus/Grafana, OpenTelemetry, Splunk), Kubernetes workloads (GKE/OpenShift) and Secrets Management (Vault).
GCP Terraform/OpenTofu Kubernetes/OpenShift Helm Charts Docker Python Git CI/CD JupyterHub Ansible Prometheus/Grafana Splunk
Private Bank (Deutsche Bank)
Frankfurt am Main (DE)
5 Monate
2021-08 - 2021-12

Post-Quantum Cryptography & Key Management Security

Confluence Scrum Jira ...
  • Initial State & Goal: 
    • Evaluation of future cryptographic threats and key management security for critical banking systems.
  • Deliverables & Impact: 
    • Post-Quantum Cryptography evaluation, complete key lifecycle documentation and DevSecOps/Zero-Trust guidelines.
  • Tasks & Methodology:
    • Evaluation & testing of Post-Quantum Cryptography algorithms to future-proof corporate security infrastructure.
    • Documented & analyzed key management lifecycle in critical banking systems.
    • Active participation in agile ceremonies coordinating security-relevant development tasks.
    • Threat Modeling (STRIDE/PASTA), Secure SDLC/DevSecOps controls (SAST/DAST, SBOM/Sigstore) and IAM/Zero-Trust guidelines.
Confluence Scrum Jira Java PKI/TLS Secrets Management (Vault)
Chief Security Office (Deutsche Bank)
Frankfurt am Main (DE)
5 Monate
2021-04 - 2021-08

Data Lineage & UAT Environment Governance

Confluence Scrum Jira ...
  • Initial State & Goal: 
    • Enhancing transparency and traceability across financial data processes and UAT test environments.
  • Deliverables & Impact: 
    • Full Data Lineage tracking, structured UAT environment provisioning, and agile dashboarding in Jira/Confluence.
  • Tasks & Methodology:
    • Owned Data Lineage & project tracking to increase transparency and traceability.
    • Supported project execution (minuting, maintaining key stakeholder documents).
    • Deputy project manager ensuring continuity and team alignment.
    • Coordinated test environment provisioning for UAT.
    • Introduced Kanban/Scrum artifacts, Risk/Issue Registers and Dashboarding (Confluence/  Jira).
Confluence Scrum Jira Excel/PowerPoint Power BI (Reporting)
Finance Office (Deutsche Bank)
Frankfurt am Main (DE)
4 Monate
2020-12 - 2021-03

Lifecycle Portfolio Optimization Engine with Deep Reinforcement Learning

Python PyTorch NumPy ...
  • Initial State & Goal: 
    • Determination of dynamic utility-optimized investment strategies under complex economic constraints.
  • Deliverables & Impact: 
    • Deep RL simulation model (TD3) adaptively solving the Merton portfolio problem over investor lifecycle.
  • Tasks & Methodology:
    • Developed lifecycle investment decision model using Deep Reinforcement Learning in Python (TD3 ? Twin Delayed Deep Deterministic Policy Gradient).
    • Applied neural network architectures to simulate optimal asset allocation policies for the Merton Portfolio problem.
Python PyTorch NumPy Monte Carlo Simulation RL Git
Goethe University Frankfurt
1 Jahr 3 Monate
2018-09 - 2019-11

Business Plan & Strategic Go-to-Market Advisory

  • Initial State & Goal: 
    • Strategic positioning and commercial foundation for an early-stage startup.
  • Deliverables & Impact: 
    • Comprehensive business plan, optimized pricing model, and continuous CEO advisory for sustainable unit economics.
  • Tasks & Methodology:
    • Authored the core business plan including strategic goals, market positioning and financial planning.
    • Strategic advisory for the CEO on operational decisions (team structure, GTM initiatives).
    • Designed and implemented a scalable pricing model for the product prototype aligned with market demand and unit economics.
Eckpunkt GmbH
Frankfurt am Main (DE)
3 Monate
2019-04 - 2019-06

Stochastic Term Structure & Yield Curve Forecasting Model

Matlab Stochastic Differential Equations Maximum Likelihood Estimator ...
  • Initial State & Goal: 
    • Modeling and precise forecasting of dynamic yield curves in financial markets.
  • Deliverables & Impact: 
    • Stochastic estimation model in MATLAB (CIR framework with Kalman Filter) with high mathematical robustness.
  • Tasks & Methodology:
    • Developed yield curve forecasting model in MATLAB based on multivariate Cox?Ingersoll?Ross (CIR) framework combined with Kalman Filter.
    • Utilized advanced stochastic modeling to estimate interest rate dynamics.
Matlab Stochastic Differential Equations Maximum Likelihood Estimator Git
Goethe University Frankfurt

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 6 Monate
2017-10 - 2021-03

Economics

Bachelor of Science, Goethe University Frankfurt
Bachelor of Science
Goethe University Frankfurt
Bachelor?s thesis: on request
3 Jahre 4 Monate
2017-10 - 2021-01

Biophysics

Master of Science, Goethe University Frankfurt
Master of Science
Goethe University Frankfurt
Master?s thesis: on request
6 Monate
2019-09 - 2020-02

Student Exchange

Kyoto University, Kyoto (Japan)
Kyoto University, Kyoto (Japan)
Academic focus on East Asian Economies and Corporate Strategy.
3 Jahre 3 Monate
2014-10 - 2017-12

Biophysics

Bachelor of Science, Goethe University Frankfurt
Bachelor of Science
Goethe University Frankfurt
Bachelor?s thesis: on request
1 Monat
2017-08 - 2017-08

Intensive program on biochemical and biophysical methods

Summer School of Biophysics ? Fudan University
Summer School of Biophysics ? Fudan University
12 Jahre 11 Monate
2001-09 - 2014-07

Abitur

Private Kant School Frankfurt
Private Kant School Frankfurt

Position

Position

  • Senior Python Software Engineer & Architect
  • Enterprise DevOps & Platform Engineering (Kubernetes/OpenShift, Helm Charts)
  • Quant/Analytics, Technical Lead & Stakeholder Management
  • Full-Stack Systems Architecture

Kompetenzen

Kompetenzen

Top-Skills

Data Science stati Python Künstliche Intelligenz Marketingprozesse Machine Learning Automatisierung

Produkte / Standards / Erfahrungen / Methoden

Profile
Extensive expertise (over 7 years) in modernizing, developing, and stabilizing business-critical Python applications, scalable data architectures, and container-based cloud infrastructures (Kubernetes, OpenShift, Helm Charts). Proven experience in processing large volumes of data from heterogeneous sources (SQL databases, CSV files) using Pandas, NumPy, Flask/Dash, and FastAPI. Successful track record of ensuring code quality, performance, data consistency, incident management, and operational reliability in demanding corporate environments. Currently serving as CEO, with a focus on senior Python software engineering, OpenShift/Kubernetes platforms, and data architecture.

Methods/Architecture
  • Conception of Robust Application & Data Architectures
  • High-Performance Data Pipelines
  • Clean Code & Refactoring
  • Git/Pull-Request Workflows
  • CI/CD Automation
  • Incident Management & Monitoring
  • Microservices
  • Domain-Driven Design (DDD)
  • Scrum/Kanban

Technical Skills
  • Languages & Backends
    • Python (Pandas, NumPy, SciPy, Flask/Dash, FastAPI), JavaScript/TypeScript, Java (Spring/Boot), Rust, PHP, Bash/Zsh, Node.js, Django
  • Frontend
    • React (incl. Next.js), Svelte/SvelteKit, Angular, HTML/CSS, Tailwind CSS, Vite, Figma
  • Databases & Data Stores
    • SQL Databases (Oracle, PostgreSQL, MySQL/MariaDB, SQL Server), CSV Processing, BigQuery, Redis, Cassandra, MongoDB, Kafka
  • Cloud & Containers
    • Kubernetes, OpenShift, GCP (Compute, Cloud Run, Vertex AI, BigQuery), AWS, Azure, Docker/Podman, NGINX/HAProxy
  • IaC, DevOps & CI/CD
    • Helm Charts, Helm, Terraform/OpenTofu, Ansible, GitOps, Git & Pull-Request Workflows, GitHub Actions, GitLab CI, Jenkins, TeamCity, precommit
  • Observability, QA & Incident
    • Incident Management, Root Cause Analysis, PyTest, OpenTelemetry, Prometheus/Grafana, Splunk, Code Quality, Performance & Reliability, JUnit, Playwright
  • Data Engineering & Analytics
    • Pandas, NumPy, Polars, SciPy, Apache Airflow, Kafka, Power BI, Tableau, Matplotlib
  • Security & Compliance
    • Zero-Trust/IAM (OpenZiti, OIDC/OAuth2), Secrets Management (HashiCorp Vault), PKI/TLS, SAST/DAST, SCA/SBOM, OPA/Gatekeeper
  • AI/ML & LLMOps
    • scikit-learn, PyTorch, TensorFlow/Keras, RAG (LangChain, LlamaIndex), Agents/Tool-Use/Orchestrators, Guardrails/Evals, MLflow, Weights & Biases, Kubeflow, vLLM/TensorRT-LLM, Triton
  • Architecture & Documentation
    • Application & Data Architectures, High-Performance Data Pipelines, Technical Documentation (Code, Wiki, Office), DDD, Event-Driven Architecture, Microservices, API-First/Contract Testing, Scrum/Kanban
  • Hardware & Electrical Eng.
    • Electrical Engineering & Physics Foundations, KiCad, FreeCAD, JLCPCB, MQTT, ESP/STM32, Edge/IoT
  • Collaboration & Tools
    • Jira/Confluence, Slack/Teams, VS Code, Jupyter, GraphQL, LaTeX, Microsoft Office (Excel, Word, PowerPoint)

Branchen

Branchen

  • Energy Sector & System Operations
  • Financial Industry (Market Risk, Governance)
  • Technology & Hardware Development

Einsatzorte

Einsatzorte

Frankfurt am Main (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 Jahre 4 Monate
2023-06 - heute

FRTB Quantitative Risk & ML Classification Platform

Python (pandas/ NumPy/ scikit-learn/ Flask/Dash/ FastAPI) SQL (Oracle/ PostgreSQL) CSV Pipelines ...
  • Initial State & Goal: 
    • Compliance with the FRTB market risk framework, efficient identification of Non-Modellable Risk Factors (NMRF), and stabilization of critical calculation processes.
  • Deliverables & Impact: 
    • FRTB-compliant quantitative models, ML classifier for data reduction, and automated, high-availability Flask/Dash web application.
  • Tasks & Methodology:
    • 5+ years hands-on development and technical responsibility for mission-critical Python applications in a complex enterprise environment.
    • Development and optimization of high-performance algorithms for processing large datasets from multiple data sources (SQL databases/Oracle, CSV fixing files).
    • Utilization of Pandas, NumPy, Polars as well as Flask/Dash and FastAPI to design robust application architectures focused on data consistency, performance, and operational security.
    • Subject matter expertise for Non-Modellable Risk Factors (NMRF) focusing on regulatory compliance and quantitative innovation.
    • Design and implementation of a Flask/Dash web application to streamline and automate manual business processes.
    • Built and integrated a Machine Learning classifier to identify FRTB risk factors, reducing dataset sizes and improving computational efficiency.
    • Executed root cause analysis, incident resolution, ticket processing and monitoring for long-term operational availability.
    • Strict adherence to Git and Pull-Request workflows, automated tests, and CI/CD pipelines; close collaboration with internal stakeholders (Risk, Compliance, IT).
Python (pandas/ NumPy/ scikit-learn/ Flask/Dash/ FastAPI) SQL (Oracle/ PostgreSQL) CSV Pipelines Airflow (Batch Jobs) Kafka (Events) Git/Pull Requests OpenShift/ Kubernetes Helm Charts OpenTelemetry/Grafana PyTest
Deutsche Bank
Frankfurt am Main (DE)
4 Jahre 4 Monate
2022-06 - heute

Ergonomic Hardware & E-Commerce Configurator Platform

KiCad FreeCAD QMK/ZMK/Zephyr ...
  • Initial State & Goal: 
    • Development and distribution of highly customizable ergonomic split keyboards with interactive online product configuration.
  • Deliverables & Impact: 
    • Complete hardware product and modern e-commerce platform featuring a 3D product configurator in Svelte and Three.js.
  • Tasks & Methodology:
    • Designed and built ergonomic split keyboards to reduce wrist strain and improve humancomputer interaction.
    • Managed complete hardware development cycle ? electronics design, PCB manufacturing, 3D printing, firmware, and QA testing.
    • End-to-end delivery including part sourcing, production control, and international distribution.
    • Developed custom e-commerce platform using Shopify (Backend) and Svelte (Frontend) with Three.js 3D product configurator.
KiCad FreeCAD QMK/ZMK/Zephyr Make Svelte/SvelteKit Three.js JLCPCB Shopify (Liquid) Git
Kamo Keyboards GmbH
1 Jahr 2 Monate
2022-04 - 2023-05

Legacy Data Pipeline Refactoring & GCP Cloud Migration

Python (Pandas/ NumPy) PHP React ...
  • Initial State & Goal: 
    • Modernization of legacy data processing systems and cloud migration of core banking applications.
  • Deliverables & Impact: 
    • Memory-efficient batching pipeline, GitOps-ready CI/CD pipelines, and successful cloud migration to GCP.
  • Tasks & Methodology:
    • Refactoring and modernization of a legacy data pipeline (memory-efficient batching, modular abstractions, robust error handling in Python/PHP).
    • Enhancement of the CI/CD pipeline for controlled deployments across Dev/Test/Prod environments on OpenShift/Kubernetes.
    • Coordination of GCP Cloud Migration including enablement, documentation, and technical workshops.
    • Development of the Customer Journey for Corporate Bank products on the web offering channel using React and modern frontend technologies.
    • Introduced API-First/Contract Testing (OpenAPI/Pact), GitOps principles, and Security Checks (SAST/SCA) into the pipeline.
Python (Pandas/ NumPy) PHP React MySQL/PostgreSQL Google Cloud (Compute/ Cloud Run/ BigQuery) OpenShift/Kubernetes Helm Charts TeamCity GitHub Actions/GitLab CI OpenTofu/Terraform
Corporate Bank (Deutsche Bank)
Frankfurt am Main (DE)
5 Monate
2021-12 - 2022-04

IaC Infrastructure & Audit-Proof Analytics Workbench

GCP Terraform/OpenTofu Kubernetes/OpenShift ...
  • Initial State & Goal: 
    • Building a secure, scalable cloud infrastructure for advanced analytics and machine learning.
  • Deliverables & Impact: 
    • Terraform-driven GCP platform, Dataproc-JupyterHub with audit logging and Vertex AI enablement.
  • Tasks & Methodology:
    • Designed and implemented Infrastructure as Code using Terraform to provision scalable, compliant GCP & Kubernetes infrastructures.
    • Deployed and orchestrated applications via Helm Charts and Kubernetes/OpenShift manifests.
    • Enabled business units to leverage Vertex AI for advanced analytics & ML.
    • Designed & rolled out a JupyterHub environment on scalable Dataproc clusters adhering to compliance, cybersecurity and audit logging standards.
    • Established IaC best practices to increase code quality, maintainability and operational efficiency.
    • Set up Observability (Prometheus/Grafana, OpenTelemetry, Splunk), Kubernetes workloads (GKE/OpenShift) and Secrets Management (Vault).
GCP Terraform/OpenTofu Kubernetes/OpenShift Helm Charts Docker Python Git CI/CD JupyterHub Ansible Prometheus/Grafana Splunk
Private Bank (Deutsche Bank)
Frankfurt am Main (DE)
5 Monate
2021-08 - 2021-12

Post-Quantum Cryptography & Key Management Security

Confluence Scrum Jira ...
  • Initial State & Goal: 
    • Evaluation of future cryptographic threats and key management security for critical banking systems.
  • Deliverables & Impact: 
    • Post-Quantum Cryptography evaluation, complete key lifecycle documentation and DevSecOps/Zero-Trust guidelines.
  • Tasks & Methodology:
    • Evaluation & testing of Post-Quantum Cryptography algorithms to future-proof corporate security infrastructure.
    • Documented & analyzed key management lifecycle in critical banking systems.
    • Active participation in agile ceremonies coordinating security-relevant development tasks.
    • Threat Modeling (STRIDE/PASTA), Secure SDLC/DevSecOps controls (SAST/DAST, SBOM/Sigstore) and IAM/Zero-Trust guidelines.
Confluence Scrum Jira Java PKI/TLS Secrets Management (Vault)
Chief Security Office (Deutsche Bank)
Frankfurt am Main (DE)
5 Monate
2021-04 - 2021-08

Data Lineage & UAT Environment Governance

Confluence Scrum Jira ...
  • Initial State & Goal: 
    • Enhancing transparency and traceability across financial data processes and UAT test environments.
  • Deliverables & Impact: 
    • Full Data Lineage tracking, structured UAT environment provisioning, and agile dashboarding in Jira/Confluence.
  • Tasks & Methodology:
    • Owned Data Lineage & project tracking to increase transparency and traceability.
    • Supported project execution (minuting, maintaining key stakeholder documents).
    • Deputy project manager ensuring continuity and team alignment.
    • Coordinated test environment provisioning for UAT.
    • Introduced Kanban/Scrum artifacts, Risk/Issue Registers and Dashboarding (Confluence/  Jira).
Confluence Scrum Jira Excel/PowerPoint Power BI (Reporting)
Finance Office (Deutsche Bank)
Frankfurt am Main (DE)
4 Monate
2020-12 - 2021-03

Lifecycle Portfolio Optimization Engine with Deep Reinforcement Learning

Python PyTorch NumPy ...
  • Initial State & Goal: 
    • Determination of dynamic utility-optimized investment strategies under complex economic constraints.
  • Deliverables & Impact: 
    • Deep RL simulation model (TD3) adaptively solving the Merton portfolio problem over investor lifecycle.
  • Tasks & Methodology:
    • Developed lifecycle investment decision model using Deep Reinforcement Learning in Python (TD3 ? Twin Delayed Deep Deterministic Policy Gradient).
    • Applied neural network architectures to simulate optimal asset allocation policies for the Merton Portfolio problem.
Python PyTorch NumPy Monte Carlo Simulation RL Git
Goethe University Frankfurt
1 Jahr 3 Monate
2018-09 - 2019-11

Business Plan & Strategic Go-to-Market Advisory

  • Initial State & Goal: 
    • Strategic positioning and commercial foundation for an early-stage startup.
  • Deliverables & Impact: 
    • Comprehensive business plan, optimized pricing model, and continuous CEO advisory for sustainable unit economics.
  • Tasks & Methodology:
    • Authored the core business plan including strategic goals, market positioning and financial planning.
    • Strategic advisory for the CEO on operational decisions (team structure, GTM initiatives).
    • Designed and implemented a scalable pricing model for the product prototype aligned with market demand and unit economics.
Eckpunkt GmbH
Frankfurt am Main (DE)
3 Monate
2019-04 - 2019-06

Stochastic Term Structure & Yield Curve Forecasting Model

Matlab Stochastic Differential Equations Maximum Likelihood Estimator ...
  • Initial State & Goal: 
    • Modeling and precise forecasting of dynamic yield curves in financial markets.
  • Deliverables & Impact: 
    • Stochastic estimation model in MATLAB (CIR framework with Kalman Filter) with high mathematical robustness.
  • Tasks & Methodology:
    • Developed yield curve forecasting model in MATLAB based on multivariate Cox?Ingersoll?Ross (CIR) framework combined with Kalman Filter.
    • Utilized advanced stochastic modeling to estimate interest rate dynamics.
Matlab Stochastic Differential Equations Maximum Likelihood Estimator Git
Goethe University Frankfurt

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 6 Monate
2017-10 - 2021-03

Economics

Bachelor of Science, Goethe University Frankfurt
Bachelor of Science
Goethe University Frankfurt
Bachelor?s thesis: on request
3 Jahre 4 Monate
2017-10 - 2021-01

Biophysics

Master of Science, Goethe University Frankfurt
Master of Science
Goethe University Frankfurt
Master?s thesis: on request
6 Monate
2019-09 - 2020-02

Student Exchange

Kyoto University, Kyoto (Japan)
Kyoto University, Kyoto (Japan)
Academic focus on East Asian Economies and Corporate Strategy.
3 Jahre 3 Monate
2014-10 - 2017-12

Biophysics

Bachelor of Science, Goethe University Frankfurt
Bachelor of Science
Goethe University Frankfurt
Bachelor?s thesis: on request
1 Monat
2017-08 - 2017-08

Intensive program on biochemical and biophysical methods

Summer School of Biophysics ? Fudan University
Summer School of Biophysics ? Fudan University
12 Jahre 11 Monate
2001-09 - 2014-07

Abitur

Private Kant School Frankfurt
Private Kant School Frankfurt

Position

Position

  • Senior Python Software Engineer & Architect
  • Enterprise DevOps & Platform Engineering (Kubernetes/OpenShift, Helm Charts)
  • Quant/Analytics, Technical Lead & Stakeholder Management
  • Full-Stack Systems Architecture

Kompetenzen

Kompetenzen

Top-Skills

Data Science stati Python Künstliche Intelligenz Marketingprozesse Machine Learning Automatisierung

Produkte / Standards / Erfahrungen / Methoden

Profile
Extensive expertise (over 7 years) in modernizing, developing, and stabilizing business-critical Python applications, scalable data architectures, and container-based cloud infrastructures (Kubernetes, OpenShift, Helm Charts). Proven experience in processing large volumes of data from heterogeneous sources (SQL databases, CSV files) using Pandas, NumPy, Flask/Dash, and FastAPI. Successful track record of ensuring code quality, performance, data consistency, incident management, and operational reliability in demanding corporate environments. Currently serving as CEO, with a focus on senior Python software engineering, OpenShift/Kubernetes platforms, and data architecture.

Methods/Architecture
  • Conception of Robust Application & Data Architectures
  • High-Performance Data Pipelines
  • Clean Code & Refactoring
  • Git/Pull-Request Workflows
  • CI/CD Automation
  • Incident Management & Monitoring
  • Microservices
  • Domain-Driven Design (DDD)
  • Scrum/Kanban

Technical Skills
  • Languages & Backends
    • Python (Pandas, NumPy, SciPy, Flask/Dash, FastAPI), JavaScript/TypeScript, Java (Spring/Boot), Rust, PHP, Bash/Zsh, Node.js, Django
  • Frontend
    • React (incl. Next.js), Svelte/SvelteKit, Angular, HTML/CSS, Tailwind CSS, Vite, Figma
  • Databases & Data Stores
    • SQL Databases (Oracle, PostgreSQL, MySQL/MariaDB, SQL Server), CSV Processing, BigQuery, Redis, Cassandra, MongoDB, Kafka
  • Cloud & Containers
    • Kubernetes, OpenShift, GCP (Compute, Cloud Run, Vertex AI, BigQuery), AWS, Azure, Docker/Podman, NGINX/HAProxy
  • IaC, DevOps & CI/CD
    • Helm Charts, Helm, Terraform/OpenTofu, Ansible, GitOps, Git & Pull-Request Workflows, GitHub Actions, GitLab CI, Jenkins, TeamCity, precommit
  • Observability, QA & Incident
    • Incident Management, Root Cause Analysis, PyTest, OpenTelemetry, Prometheus/Grafana, Splunk, Code Quality, Performance & Reliability, JUnit, Playwright
  • Data Engineering & Analytics
    • Pandas, NumPy, Polars, SciPy, Apache Airflow, Kafka, Power BI, Tableau, Matplotlib
  • Security & Compliance
    • Zero-Trust/IAM (OpenZiti, OIDC/OAuth2), Secrets Management (HashiCorp Vault), PKI/TLS, SAST/DAST, SCA/SBOM, OPA/Gatekeeper
  • AI/ML & LLMOps
    • scikit-learn, PyTorch, TensorFlow/Keras, RAG (LangChain, LlamaIndex), Agents/Tool-Use/Orchestrators, Guardrails/Evals, MLflow, Weights & Biases, Kubeflow, vLLM/TensorRT-LLM, Triton
  • Architecture & Documentation
    • Application & Data Architectures, High-Performance Data Pipelines, Technical Documentation (Code, Wiki, Office), DDD, Event-Driven Architecture, Microservices, API-First/Contract Testing, Scrum/Kanban
  • Hardware & Electrical Eng.
    • Electrical Engineering & Physics Foundations, KiCad, FreeCAD, JLCPCB, MQTT, ESP/STM32, Edge/IoT
  • Collaboration & Tools
    • Jira/Confluence, Slack/Teams, VS Code, Jupyter, GraphQL, LaTeX, Microsoft Office (Excel, Word, PowerPoint)

Branchen

Branchen

  • Energy Sector & System Operations
  • Financial Industry (Market Risk, Governance)
  • Technology & Hardware Development

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