🎓 MSc Computer Science — University of Tartu, Estonia
Focus: Machine Learning, Deep Learning, Transformers, Distributed Systems
🔭 Currently Working On
Building production-ready RAG systems and agentic AI workflows using Python, PyTorch, Transformers, LangChain, LangGraph, LangSmith, and vector databases.
👯 Open to Collaborate On
Machine Learning, Deep Learning, NLP, semantic search systems, retrieval pipelines, and LLM-based backend services.
🤝 Looking for Help With
Advanced evaluation of agentic workflows, improving RAG robustness, and optimizing fine-tuning with LoRA / QLoRA.
🌱 Currently Learning
Advanced Transformer architectures, distributed systems, scalable AI backends, and embedding optimization techniques.
💬 Ask Me About
RAG pipelines, vector databases (Qdrant, Pinecone, PGVector, FAISS), semantic search systems, FastAPI deployments, and production LLM architectures.
⚡ Fun Fact
Most of my projects start with messy PDFs and end as structured AI-powered APIs.
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