I’m an Applied AI Scientist and Engineer working at the edge of computer vision, deep learning, and robotics.
Currently wrapping up my PhD at Karlsruhe Institute of Technology (KIT), I specialize in turning smart algorithms into real-world tools—from open-source photomicroscopes to scalable cloud pipelines and full-stack automation for scientific and industrial challenges.
- 🧠 Deep Learning & Neural Network Design: Architecting custom models for complex tasks.
- 👁️ Computer Vision: Object detection (YOLO), segmentation, and automated morphometrics.
- ⚙️ Model Deployment: Converting research code into production-ready APIs (ONNX, Docker, FastAPI).
- 🔬 Scientific Computing: High-throughput data analysis and robotic imaging integration.
- ☁️ Scalable Infrastructure: HPC (Slurm), AWS, and Cloud-native workflows.
AI, Vision & Frameworks PyTorch TensorFlow Keras scikit-learn OpenCV YOLO ONNX
Web & Backend Development FastAPI Python TypeScript JavaScript HTML5 CSS3
Data, Databases & Viz Postgres Supabase Pandas NumPy Streamlit Gradio mlflow
Cloud, DevOps & Tools AWS Koyeb Cloudflare Docker Kubernetes CI/CD Git HPC Slurm VS Code
- 🔭 AI-driven automation for science & industry
- 🦾 Computer vision in robotics and hardware
- ⚡ High-throughput data pipelines & Scalable deployment (Cloud/HPC)
- 📖 Open science & reproducibility
Open to collaborations, product-focused projects, or just swapping ideas about AI and smart automation.