Yat Hik

Ai Engineer @Tata Consultancy Services

Hyderabad, IN

As an AI Engineer in the Healthcare & Cognitive Systems Unit (HCMT), I design and deploy Agentic AI systems, multi-agent orchestration frameworks, and context-aware retrieval pipelines. My focus is on bridging Generative AI, LLM reasoning, and cloud-scale architecture to build intelligent, explainable, and scalable enterprise solutions.🧩 Key Projects & Innovations• Knowledge Builder (GenAI + Knowledge Graph System) — Architected a modular GenAI framework for domain-specific knowledge graphs using LangGraph, LangChain, LlamaIndex, and Graph DBs (Neo4j, Cosmos DB, TigerGraph). Integrated hybrid RAG/CAG pipelines, contextual chunking, and metadata extraction for document intelligence.• MCP-Based Multi-Agent System — Built an Agentic AI orchestration prototype using the Model Context Protocol (MCP) integrating Weather Insight, Smart Calculation, and LLM Text Analysis APIs. Showcased A2A (Agent-to-Agent) collaboration, contextual reasoning, and adaptive workflows.• Spam & Phishing Detection Agent — TCS AI Hackathon Winner (2025) — Developed a classification agent with explainable scoring, threat detection, and mitigation strategy generation. Implemented semantic pattern analysis, risk scoring, and post-click defense logic.• Product Recommendation & Billing Defaulter Models — Designed healthcare recommendation and billing anomaly detection models using embeddings and structured datasets.• Credit Card Recommendation Agent — Created a financial advisory agent using vector similarity and LLM-based reasoning.• Vector Search on Healthcare Transcripts — Built embedding-based retrieval pipelines using LangGraph, ChromaDB, and MongoDB for improved internal knowledge access.• Internal Chat Completion APIs — Developed Azure OpenAI and GCP Vertex AI-powered APIs for contextual search and automated query resolution.

Dr. B.V. RAJU INSTITUTE OF COMPUTER EDUCATION

Bsc