Headline

AI Engineer | Generative AI | LLMs | RAG | Agentic AI | Python | FastAPI | IIT Bombay

About

AI Engineer with expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. I enjoy designing and building production-ready AI applications that solve real business problems. Currently working at Esyasoft, where I develop enterprise AI solutions using modern AI frameworks and scalable backend technologies. My work involves designing intelligent copilots, multi-agent workflows, document intelligence solutions, and knowledge retrieval systems for enterprise applications. My technical expertise includes: Generative AI & LLM Applications Retrieval-Augmented Generation (RAG) Agentic AI & Multi-Agent Systems Python, FastAPI & REST APIs LangGraph & LangChain Vector Databases & Knowledge Graphs Machine Learning & Deep Learning Previously, I completed my M.Tech from IIT Bombay, where my research focused on applying machine learning techniques to energy systems through surrogate modeling for fuel cell simulations. I'm passionate about building scalable AI systems that bridge cutting-edge research with real-world production applications. I'm always open to connecting with professionals working in AI, Generative AI, and Machine Learning.

Location

Mumbai

AI stack

antigravity

github copilot

hugging face

langgraph

huggingface

Qdrant

Work experience

AI Engineer at Esyasoft Holding, Aug 2025 - Present · 1 yr 1 mo, Bengaluru, Working as an AI Engineer building enterprise-scale Generative AI solutions for the utilities domain. Key Contributions: Designed and developed enterprise AI copilots using LLMs, RAG, and Agentic AI. Built scalable AI backend services using Python, FastAPI, LangGraph, PostgreSQL, Redis, and Docker. Developed hybrid RAG pipelines with vector search, BM25, reranking, and Knowledge Graphs for accurate enterprise knowledge retrieval. Built document intelligence solutions supporting PDF, DOCX, and Excel ingestion with citation-backed responses and conversation memory. Developed AI applications for load forecasting, asset monitoring, theft detection, finance intelligence, and consumer analytics. Collaborated with cross-functional teams to deliver production-ready AI solutions for enterprise customers. Technologies: Python, FastAPI, LangGraph, LangChain, LLMs, RAG, React, TypeScript, PostgreSQL, Redis, Docker, Qdrant, Neo4j, Keycloak

Business Analyst at Finaltics, Jan 2024 - Feb 2024 · 2 mos, Remote, worked on various test cases and used tools like Power BI and MS Excel

Education

Master's degree, Indian Institute of Technology, Bombay

Bachelor of Engineering - BE, Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

Public links

github: https://github.com/GauravSsonawane