π MSc AI @ Hochschule Trier | π Germany
Mechanistic interpretability: activation patching, logit lens, induction heads, superposition. Currently writing my thesis on explainable AI for LLMs with causally grounded natural language explanations.
AI/ML: PyTorch, TransformerLens, Hugging Face, LangChain Cloud: Azure OpenAI, Azure ML, Azure Cognitive Services LLM: GPT-4, Claude, Llama, Fine-tuning, RAG, Agents MLOps: MLflow, DVC, Docker, FastAPI, GitHub Actions
- π¬ MSc Thesis: Mechanistic Interpretability of LLMs
- π Building production LLM applications
- π― Seeking AI/ML Engineer roles in EU