Abhay - IIT Roorkee|Gen ai| RAG | Agentic AI|

About Me

Applied AI Engineer specializing in Generative AI and large language model (LLM) systems, with experience designing and delivering production-grade Retrieval-Augmented Generation (RAG) and Agentic AI solutions for enterprise analytics, automation, and decision intelligence. Strong background in architecting end-to-end LLM systems involving multi-agent workflows, hybrid and multi-hop retrieval, and conversational AI pipelines.

Skills & Technologies

PythonSQLC++HTMLCSSLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Agentic AINatural Language Processing (NLP)Transformer models (BERT)Prompt EngineeringLLM Evaluation (RAGAS, LLM-as-a-Judge)Fine-tuning (LoRA, PEFT)Vector SearchEmbedding ModelsMCP (Model Context Protocol)Machine LearningDeep LearningLangChainLangGraphFastAPIHugging Face TransformersStreamlitScikit-learnTensorFlowPyTorchTeradataMySQLSnowflakeChromaDBApache SolrBM25AzureCI/CDGitPower BIVS CodeJupyterSeleniumZyte (Web Scraping)

Work Experience

System Engineer

Tata Consultancy Services (TCS)

Aug 2024 — NOW

Built an Agentic NL2SQL system using GPT-4 and LangGraph for converting natural language business queries into executable SQL. Designed dual-RAG retrieval pipelines for KPI grounding and implemented semantic query normalization and autonomous validation. Developed a multimodal Agentic RAG system for enterprise knowledge intelligence and built a production-grade AI platform for automotive product research, improving efficiency and reducing manual efforts.

Education

B.Tech

Electrical Engineering

Indian Institute of Technology, Roorkee • 2020 - 2024