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RAG systems (Neo4j GraphRAG, pgvector)Mobile apps (React-Native)SQL/PostgreSQLevaluation tooling (DeepEval, LangSmith)Python (FastAPI, LangChain, LangGraph)OCR pipelines (Google Vision, PaddleOCR)Frontend (React)LLM integration (OpenAI, Anthropic, local Llama via Ollama/vLLM)MLOps (MLflow, GitHub Actions CI/CD, Docker, AWS ECS/Fargate, ECR)classical ML (scikit-learn, regression and classification models)

Description

Hamza Arifi is a Senior LLM and MLOps Engineer based in Skopje, North Macedonia. The profile is available for remote work, comfortable with the CET timezone and EU/US overlap, but not willing to relocate. Hamza possesses a strong technical background in Python, specializing in advanced areas such as LLM integration (OpenAI, Anthropic, local Llama via Ollama/vLLM), RAG systems (Neo4j GraphRAG, pgvector), and MLOps (MLflow, GitHub Actions CI/CD, Docker, AWS ECS/Fargate, ECR). Further expertise includes OCR pipelines (Google Vision, PaddleOCR), classical machine learning (scikit-learn), SQL/PostgreSQL, and evaluation tooling (DeepEval, LangSmith). The profile also demonstrates full-stack capabilities with Frontend (React) and Mobile apps (React-Native). The resume and portfolio are available on GitHub.