I am an AI Engineer focused on high-performance deep learning solutions. My work bridges the gap between complex medical imaging research and scalable LLM deployments.
- Medical Image Segmentation: Specialized in the nnU-Net framework. Currently working on high-precision segmentation of Liver, Tumors, and Hepatic Vessels using datasets like TotalSegmentator and CRLM.
- RAG Pipelines: Architecting Retrieval-Augmented Generation systems using FastAPI, ChromaDB, and Nomic Embeddings for context-aware AI applications.
- LLM Optimization: Local LLM deployment and inference optimization using Ollama and Llama.cpp.
- Software Craftsmanship: Strong foundation in OOP principles and deploying containerized AI models via Docker.
