End-to-End ML/DL Expertise: Full-stack mastery of Machine Learning and Deep Learning, ranging from traditional frameworks (Scikit-Learn, XGBoost) to advanced computer vision (OpenCV, TensorFlow) and privacy-centric architectures like Federated and Distributed Learning.
Advanced Data & Vector Engineering: Expert in building scalable ETL pipelines and hybrid search systems using high-performance vector databases (ChromaDB, OpenSearch,Milvus, Pinecone) and traditional stores(PostgreSQL, Redis), supported by robust model explainability (SHAP, LIME).
• Production Deployment & Observability: Proven track record in shipping GDPR-compliant applications using
Docker, Azure, and Linux, with integrated telemetry and visualization via Azure Live Metrics, Metabase, and Seaborn
• Hands-on experience building multi-agent systems using frameworks like LangGraph, CrewAI, or Autogen. You
should be comfortable designing "Plan-and-Execute" loops
