Senior Machine Learning Specialist and Research Leader
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- 82110 Germering, Oberbayern
- Europa
- en | de
- 13.02.2026
- Contract ready
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
12/2023 – 12/2025
Tätigkeitsbeschreibung
• Designed and deployed an edge-ready 3D perception stack for warehouse object detection and navigation.
• Optimized the detection stack using TensorRT on Jetson Orin NX, achieving real-time performance.
• Integrated a DepthAnythingv2-based module, reducing depth latency from 1s to 50ms.
Forschung & Entwicklung
12/2023 – offen
Tätigkeitsbeschreibung
• Advised TenderFix on transforming OCR-based workflows into RAG pipelines for enhanced document processing efficiency.
• Scoped architecture and developed a comprehensive rollout plan to streamline implementation.
• Delivered a VLM landscape review for Drizz.dev, providing actionable model and infrastructure recommendations.
• Designed a deep learning-based image culling strategy for Eventgraphia, outlining a high-level system and data plan.
• Advised TenderFix on transforming OCR-based workflows into RAG pipelines for enhanced document processing efficiency. • Scoped architecture and developed a comprehensive rollout plan to streamline implementation. • Delivered a VLM landscape review for Drizz.dev, providing actionable model and infrastructure recommendations. • Designed a deep learning-based image culling strategy for Eventgraphia, outlining a high-level system and data plan.
Kundenberater, Forschung & Entwicklung, Microstrategy
12/2022 – 12/2025
Tätigkeitsbeschreibung
• Led the development of an Active Inference-based routing agent, enhancing obstacle avoidance capabilities.
• Optimized the planning stack, significantly reducing planning time from 7 minutes to 21 seconds.
• Developed a PyMDP-based saccading agent for active visual exploration, contributing to a peer-reviewed conference publication.
• Designed a 3D simulation pipeline in NVIDIA Isaac Omniverse for realistic evaluation of routing agents.
Lead Developer
12/2021 – 9/2023
Tätigkeitsbeschreibung
• Conducted in-depth analysis of the correlation between privacy and robustness in CNN-based classification networks.
• Explored innovative methods to enhance model robustness by dynamically altering feature space during training.
• Improved experimental capabilities based on feedback from previous paper submissions, refining initial hypotheses.
Angewandte Forschung, Forschung & Entwicklung, Machine Learning Engineer, Wissenschaftlicher Assistent
10/2019 – 1/2022
Tätigkeitsbeschreibung
• Deployed an end-to-end ADAS perception pipeline with Multiple Object Tracking (MOT), extending 2D object detection to 3D bounding boxes on AWS
• Integrated monitoring and alerting for production ML models using Weights & Biases, with automated performance tracking across model versions to support data-driven iteration
Forschung & Entwicklung, Software engineering / -technik
1/2019 – 8/2019
Tätigkeitsbeschreibung
• Architected Vehicle State Monitor for high-frequency multi-sensor data processing pipeline, handling 100+ Hz sampling rates
• Developed a GUI dashboard to monitor and visualise real-time vehicle health from streaming telemetry
• Developed and Automated comprehensive testing framework for vehicle telemetry system
Software Engineer
Software engineering / -technik
12/2018 – 12/2019
Tätigkeitsbeschreibung
• Developed a proof of concept for Swimming Pool Segmentation using aerial imagery for a prospective customer.
• Created a comprehensive data engineering pipeline, including data sourcing, cleaning, and exploratory data analysis for large-scale datasets (>50TB).
• Automated an end-to-end MLOps pipeline utilizing Docker and CI/CD, achieving a 40% reduction in experimentation time.
Data Science, Bildverarbeitung, Maschinelles Lernen, Softwareentwickler
Zertifikate
Technical University Munich
Über mich
architectures. Expertise spans MLOps, Computer Vision, and communicating complex ML concepts to diverse stakeholders.
Weitere Kenntnisse
Libraries: PyTorch, Tensorflow, ROS, lightGBM, OpenCV, Numpy/CuPy, Pandas, GeoPandas, Scikit-learn
Topics: Diffusion, Visual Transformers, NeRFs, 3-D Reconstruction, Object Detection, Tracking & Segmentation
Prod Tools: FastAPI, WandB, MLFlow, Docker, Git
Data Viz: Matplotlib, Seaborn, Plotly
Databases: PostGres, MongoDB
Cloud: Google Cloud Engine, AWS
Persönliche Daten
- Englisch (Muttersprache)
- Deutsch (Gut)
- Europäische Union
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