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TechnoDamo/README.md

Machine learning formulas for regularized empirical risk, gradient descent and a Bayesian posterior

Hi, I'm Damir Koblev 馃憢

ML Research

About me

I鈥檓 moving into ML research and currently studying in an entirely English-taught Master鈥檚 program in Machine Learning at MIPT.

ML toolbox

Python, PyTorch, FastAPI, PostgreSQL, Docker, Kubernetes, Linux, Bash, Git and GitHub

Modeling & retrieval ML systems Data & infrastructure
PyTorch 路 embeddings FastAPI 路 vLLM 路 TEI PostgreSQL 路 Qdrant 路 MinIO
RAG 路 hybrid search 路 reranking model serving 路 async workers Docker 路 Kubernetes
evaluation 路 grounded generation APIs 路 observability 路 testing Linux 路 CI/CD 路 cloud/hybrid deploys

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