MSc Student — Image Analysis & ML @Uppsala University | Biomedical Image Analysis | Full-Stack Developer
Currently in my second year of MSc in Image Analysis & Machine Learning at Uppsala University (Biomedical Image Analysis track), building models that turn pixels and graphs into diagnoses, insights, and decisions. When I'm not training models, you'll find me shipping web apps, reading, or planning my next adventure 🌍
- 🔬 Research focus: Image reconstruction, registration & segmentation, multimodal medical image analysis, graph neural networks, explainable AI (XAI)
- 🤖 Also exploring: LLM fine-tuning, reinforcement learning, and autonomous systems
- 🎯 Right now: looking for R&D / applied ML roles where I can push on hard imaging + learning problems
- 🥅 2026 Goals: Hack NASA 😂 with AI (working in depth with Transformers, GCNNs, and VLMs, plus a bit of DQN/PPO to learn and optimize better)
- 🛠️ I build full-stack too — so I can ship the model and the product around it
📫 Open to collaborations, research chats, or opportunities — reach out!
ML / Research: PyTorch · PyTorch Geometric · UNet · Transfer Learning · Image Registration & Segmentation · LLM Fine-tuning · Reinforcement Learning
Web Dev: Next.js · React · TailwindCSS · Node.js · NestJS · Strapi · ExpressJS
Data / Infra: PostgreSQL · MongoDB · Redis · MySQL · AWS · NAISS · Docker
Languages: Python · JavaScript · C++ · C · Java · SQL · MATLAB
✨ Learn. Research. Build (Update). Repeat.
