Hi, I’m Stefanie Martin, an AI & ML Engineer with hands-on experience building end-to-end machine learning pipelines, backend services, and image-processing workflows. I have a strong Python background with practical expertise in FastAPI microservices, Postgres-backed data handling, and AI-driven automation. I have developed real-time CNN pipelines and turned prototypes into production-ready services, plus image analysis methods (OpenCV, reconstruction, histogram equalization) for research and clinical applications. Most recently I built an AI-enabled healthcare assistant using NLP and LLM integration, coordinating backend routing, UI logic, and data aggregation workflows. I excel at turning complex data and images into structured, actionable outputs and thrive in remote, cross-functional teams in fast-paced, iterative environments.

Stefanie Martin

Hi, I’m Stefanie Martin, an AI & ML Engineer with hands-on experience building end-to-end machine learning pipelines, backend services, and image-processing workflows. I have a strong Python background with practical expertise in FastAPI microservices, Postgres-backed data handling, and AI-driven automation. I have developed real-time CNN pipelines and turned prototypes into production-ready services, plus image analysis methods (OpenCV, reconstruction, histogram equalization) for research and clinical applications. Most recently I built an AI-enabled healthcare assistant using NLP and LLM integration, coordinating backend routing, UI logic, and data aggregation workflows. I excel at turning complex data and images into structured, actionable outputs and thrive in remote, cross-functional teams in fast-paced, iterative environments.

Available to hire

Hi, I’m Stefanie Martin, an AI & ML Engineer with hands-on experience building end-to-end machine learning pipelines, backend services, and image-processing workflows. I have a strong Python background with practical expertise in FastAPI microservices, Postgres-backed data handling, and AI-driven automation. I have developed real-time CNN pipelines and turned prototypes into production-ready services, plus image analysis methods (OpenCV, reconstruction, histogram equalization) for research and clinical applications.
Most recently I built an AI-enabled healthcare assistant using NLP and LLM integration, coordinating backend routing, UI logic, and data aggregation workflows. I excel at turning complex data and images into structured, actionable outputs and thrive in remote, cross-functional teams in fast-paced, iterative environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

German
Advanced
English
Fluent

Work Experience

Research Assistant in Embedded AI at Fraunhofer Institute IMS
January 1, 2025 - January 1, 2025
Developed and deployed Python-based ML pipelines, including CNN models for real-time analysis. Built containerized FastAPI microservices for scalable AI functionality and model serving. Converted TensorFlow/PyTorch models into optimized C for tinyML deployment. Improved inference accuracy in embedded AI pipelines through model and preprocessing refinements. Collaborated in cross-functional, partly remote teams to deliver integrated software components. Contributed to GitLab CI/CD pipelines, enhancing reliability of automated builds and deployments.
Practical Semester at DKFZ German Cancer Research Center
March 1, 2022 - March 1, 2022
Built C++ modules for spectral imaging software, ensuring seamless OpenCV v3/v4 compatibility. Implemented RGB reconstruction and adaptive histogram equalization, boosting clinical image quality for clinical use. Supported UI/UX improvements for clinical researchers.
Practical Semester at Military Institute for Protection Technologies – NBC Protection (WIS)
December 1, 2021 - December 1, 2021
Optimised analytical methods for toxin and protein detection, improving reproducibility. Conducted comparative data analysis of lab methods, directly influencing procurement and operational decisions. Delivered technical reports to senior researchers, translating analytical outcomes into practical insights.

Education

Master of Science at Fachhochschule Dortmund, University of Applied Science and Arts
January 11, 2030 - November 28, 2025
Bachelor of Science at Hochschule Ruhr West, University of Applied Science, Mülheim an der Ruhr
January 11, 2030 - January 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services, Education