My main focus is on building and deploying production-ready AI and machine learning systems in the cloud. I work across the full MLOps lifecycle.
Aktualisiert am 12.01.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.02.2026
Verfügbar zu: 100%
davon vor Ort: 50%
Python
AWS
Azure
Cloud Computing
Databricks
Machine Learning
Künstliche Intelligenz
Data Engineer
Data Analyst
Terraform
Git
Scriptsprachen
GitHub
CI/CD

Einsatzorte

Einsatzorte

Frankfurt am Main (+50km) Heilbronn (Neckar) (+75km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 months
2025-11 - 2026-02

KI-Plattform

AI Engineer Python LangChain LangGraph ...
AI Engineer

  • Aufbau einer unternehmensweiten KI?Agentenplattform zur sicheren Bereitstellung agentischer Anwendungen.
  • Entwicklung von Enterprise Tool Integrationen und Ausführungsfunktionen für Agenten mit modernen Kontext-Engineering Techniken sowie Implementierung von Security? und Observability?Standards.

Python LangChain LangGraph LLMs
Remote
3 years
2022-12 - 2025-11

BOSCH

Software developer for machine learning use cases Python Machine Learning Künstliche Intelligenz ...
Software developer for machine learning use cases
  • Designed and deployed ML inference and data processing pipelines on Azure and AWS as part of a multi-tenant, event-driven web service handling petabytes of multi-sensor automotive data for customers world wide.
  • Built an Azure-Databricks Lakehouse managing >10 TB of engineering time-series data, enabling unified analytics and ML experimentation across 5+ engineering teams. Implemented PySpark ETL workflows for feature extraction and versioned dataset management, reducing data processing time and eliminating data inconsistencies in collaborative workflows.
  • Built ETL workflows with Azure Data Factory and Databricks, integrating structured and unstructured datasets into cloud-based Lakehouse.
  • Productized Bosch research models into cloud services, reducing data annotation effort by 90% and costs by 70%.
  • Implemented full-lifecycle MLOps for Computer Vision pipelines using Databricks on Azure, covering data ingestion, feature engineering, model training, deployment, and automated monitoring through CI/CD pipelines.
  • Built cloud AI Agents for anomaly detection in time-series data using foundation models and event-driven design.
AWS Azure Databricks GitHub
Python Machine Learning Künstliche Intelligenz Software as a Service Cloud Computing
BOSCH Engineering, Abstatt (Germany)
Abstatt
10 months
2022-03 - 2022-12

Automated analyses of multivariate time series data

INTERN: SOCIAL DEVELOPER FOR ML USE CASES
INTERN: SOCIAL DEVELOPER FOR ML USE CASES
  • Implemented ML algorithms for automated analysis of multivariate time-series data
  • Service deployed on AWS
BOSCH Engineering, Abstatt (Germany)
2 years
2020-09 - 2022-08

Development of a web-based learning platform

TEAM LEAD ? SOFTWARE DEVELOPMENT
TEAM LEAD ? SOFTWARE DEVELOPMENT
Led a team of SW-Developers in building a web-based learning platform simulating project management scenarios.
Frankfurt University of Applied Sciences (Germany)

Aus- und Weiterbildung

Aus- und Weiterbildung

2019 - 2022
ENGINEERING BUSINESS INFORMATION SYSTEMS
FRANKFURT UNIVERSITY OF APPLIED SCIENCES

DEGREE: BACHELOR OF SCIENCE

Note: 1.0


CERTIFICATIONS
  • AWS Certified Data Engineer ? Associate
  • AWS Solutions Architect - Associate
  • AWS Certified AI Practitioner
  • IBM: Professional Certificate Deep Learning

Kompetenzen

Kompetenzen

Top-Skills

Python AWS Azure Cloud Computing Databricks Machine Learning Künstliche Intelligenz Data Engineer Data Analyst Terraform Git Scriptsprachen GitHub CI/CD

Produkte / Standards / Erfahrungen / Methoden

Python
Experte
AWS
Fortgeschritten
PROFILE
ML & Cloud Engineer with a strong focus on cloud services, MLOps and bringing AI Models into production. Experienced across the full ML lifecycle from data engineering and model development to deployment and monitoring with hands-on delivery on Azure, Databricks and AWS. Passionate about designing scalable, reliable and cost-efficient architectures for modern AI systems. I approach AI service development from a software engineering perspective, I prioritize writing clean, well-structured and maintainable code - unlike typical data science prototypes, my implementations are production-grade from the start. 

SKILLS
  • Programming & Scripting
    • ?Fluent in Python, SQL, Bash & Unix tools
  • Concepts
    • ETL, Data Pipelines API Design, Event-Driven Design, Serverless, Micro Service Architectures
  • MLOps
    • CI/CD for ML, Data Cataloging, Model Registries, Model Deployment, Workflow Orchestration
  • Cloud Services
    • AWS, Azure, Databricks
  • DevOps
    • IaC (Terraform, AWS CDK), GH Actions, Observability, Containerization (Docker)
  • Machine Learning & AI
    • Classical ML, Foundation Models, Large Language Models, AI Agents
  • ML Frameworks & Tools
    • scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face, CUDA, LangChain, LangGraph

Einsatzorte

Einsatzorte

Frankfurt am Main (+50km) Heilbronn (Neckar) (+75km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 months
2025-11 - 2026-02

KI-Plattform

AI Engineer Python LangChain LangGraph ...
AI Engineer

  • Aufbau einer unternehmensweiten KI?Agentenplattform zur sicheren Bereitstellung agentischer Anwendungen.
  • Entwicklung von Enterprise Tool Integrationen und Ausführungsfunktionen für Agenten mit modernen Kontext-Engineering Techniken sowie Implementierung von Security? und Observability?Standards.

Python LangChain LangGraph LLMs
Remote
3 years
2022-12 - 2025-11

BOSCH

Software developer for machine learning use cases Python Machine Learning Künstliche Intelligenz ...
Software developer for machine learning use cases
  • Designed and deployed ML inference and data processing pipelines on Azure and AWS as part of a multi-tenant, event-driven web service handling petabytes of multi-sensor automotive data for customers world wide.
  • Built an Azure-Databricks Lakehouse managing >10 TB of engineering time-series data, enabling unified analytics and ML experimentation across 5+ engineering teams. Implemented PySpark ETL workflows for feature extraction and versioned dataset management, reducing data processing time and eliminating data inconsistencies in collaborative workflows.
  • Built ETL workflows with Azure Data Factory and Databricks, integrating structured and unstructured datasets into cloud-based Lakehouse.
  • Productized Bosch research models into cloud services, reducing data annotation effort by 90% and costs by 70%.
  • Implemented full-lifecycle MLOps for Computer Vision pipelines using Databricks on Azure, covering data ingestion, feature engineering, model training, deployment, and automated monitoring through CI/CD pipelines.
  • Built cloud AI Agents for anomaly detection in time-series data using foundation models and event-driven design.
AWS Azure Databricks GitHub
Python Machine Learning Künstliche Intelligenz Software as a Service Cloud Computing
BOSCH Engineering, Abstatt (Germany)
Abstatt
10 months
2022-03 - 2022-12

Automated analyses of multivariate time series data

INTERN: SOCIAL DEVELOPER FOR ML USE CASES
INTERN: SOCIAL DEVELOPER FOR ML USE CASES
  • Implemented ML algorithms for automated analysis of multivariate time-series data
  • Service deployed on AWS
BOSCH Engineering, Abstatt (Germany)
2 years
2020-09 - 2022-08

Development of a web-based learning platform

TEAM LEAD ? SOFTWARE DEVELOPMENT
TEAM LEAD ? SOFTWARE DEVELOPMENT
Led a team of SW-Developers in building a web-based learning platform simulating project management scenarios.
Frankfurt University of Applied Sciences (Germany)

Aus- und Weiterbildung

Aus- und Weiterbildung

2019 - 2022
ENGINEERING BUSINESS INFORMATION SYSTEMS
FRANKFURT UNIVERSITY OF APPLIED SCIENCES

DEGREE: BACHELOR OF SCIENCE

Note: 1.0


CERTIFICATIONS
  • AWS Certified Data Engineer ? Associate
  • AWS Solutions Architect - Associate
  • AWS Certified AI Practitioner
  • IBM: Professional Certificate Deep Learning

Kompetenzen

Kompetenzen

Top-Skills

Python AWS Azure Cloud Computing Databricks Machine Learning Künstliche Intelligenz Data Engineer Data Analyst Terraform Git Scriptsprachen GitHub CI/CD

Produkte / Standards / Erfahrungen / Methoden

Python
Experte
AWS
Fortgeschritten
PROFILE
ML & Cloud Engineer with a strong focus on cloud services, MLOps and bringing AI Models into production. Experienced across the full ML lifecycle from data engineering and model development to deployment and monitoring with hands-on delivery on Azure, Databricks and AWS. Passionate about designing scalable, reliable and cost-efficient architectures for modern AI systems. I approach AI service development from a software engineering perspective, I prioritize writing clean, well-structured and maintainable code - unlike typical data science prototypes, my implementations are production-grade from the start. 

SKILLS
  • Programming & Scripting
    • ?Fluent in Python, SQL, Bash & Unix tools
  • Concepts
    • ETL, Data Pipelines API Design, Event-Driven Design, Serverless, Micro Service Architectures
  • MLOps
    • CI/CD for ML, Data Cataloging, Model Registries, Model Deployment, Workflow Orchestration
  • Cloud Services
    • AWS, Azure, Databricks
  • DevOps
    • IaC (Terraform, AWS CDK), GH Actions, Observability, Containerization (Docker)
  • Machine Learning & AI
    • Classical ML, Foundation Models, Large Language Models, AI Agents
  • ML Frameworks & Tools
    • scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face, CUDA, LangChain, LangGraph

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