Senior ML Engineer | MLOps | 3D Computer Vision

7/2022 – offen

◦ Architected a self-service internal platform for Ground Truth Collection that automated manual workflows, reducing engineering support time from∼8 hours per session to zero active involvement.
◦ Initiated an ML System Design working group, collaborating with the Head of AI to define and implement the department-wide standard for technical design documentation.
◦ Owned the development of 3D object detection models, improving accuracy by 15% through fine-tuning, while designing scalable ETL pipelines that reduced processing time by 25x.
◦ Selected for a rapid-response task force to deploy Airflow pipelines; partnered with Senior Data Engineers to validate architecture, ensuring robustness against edge cases and alignment with business
logic.
◦ Created production-grade ML repositories introducing CI/CD and automated testing, establishing engineering standards adopted across the ML org.

Python, Pytorch, Scikit-learn, SQL, Tensorflow

3/2022 – 6/2022

• Implemented deep-learning-based MRI reconstruction pipelines, improving image quality for downstream medical analysis.
• Built GitLab CI/CD pipelines for emerging ML services, reducing integration time and deployment friction.

Continuous Integration, Python

6/2021 – 3/2022

• Consulted with SMEs on designing AI architectures tailored to their operational needs.
• Delivered custom AI solutions for Computer Vision, NLP, Time series forecasting, and Generative AI.

Computer Vision, Natural Language Processing, Python