Hi, I’m Anuj Tiwari, an AI/ML leader with 16+ years of experience delivering cutting-edge software and AI solutions across legacy systems and agile transformations. I focus on turning business needs into reliable, scalable AI outcomes, with a strong emphasis on production readiness, governance, and cost control.
Beyond technology, I enjoy designing generative AI architectures, including single and multi-agent systems, RAG/GraphRAG, and scalable ML pipelines. I thrive in cross-functional teams, building auditable, explainable AI and helping customers realize tangible outcomes through iterative delivery.
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Hybrid MCP + RAG system for querying and summarizing GitHub issues using local LLMs, vector search, and semantic routing via Ollama. Capability Highlight: Demonstrates hybrid AI retrieval architecture combining MCP live APIs, vector RAG, and multi-model orchestration (phi3-mini + Mistral) for developer productivity tools.
AI-powered KYC adverse media screening agent that searches, scrapes, and analyzes web articles using semantic embeddings and local LLMs to assess financial crime risk.
AI-powered Executive Coaching Agent built using LangGraph, FastAPI and local LLMs. Demonstrates agent orchestration, memory-driven conversations, Docker containerization and CI/CD with GitHub Actions.
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