Shreyash Patil

About Shreyash Patil

l am an enthusiastic and detail-oriented System Engineer with expertise in Generative AI, Machine Learning, and Deep Learning. Over the years, I have worked on cutting-edge projects such as building chatbots using Large Language Models (LLMs), developing a credit card fraud detection system, and creating a movie recommendation system. My hands-on experience includes leveraging advanced AI frameworks and tools like LangChain, Hugging Face, and Azure OpenAI to deliver impactful solutions.Key Achievements:Automated manual workflows with Retrieval-Augmented Generation (RAG) pipelines, reducing analyst effort from hours to minutes.Developed machine learning models with optimized performance, achieving up to 87% accuracy in fraud detection.Built and deployed user-friendly applications integrating ML techniques on platforms like Streamlit and Heroku.Certified as an Azure AI Engineer and Data Scientist, I combine technical proficiency with excellent stakeholder management skills to deliver tailored solutions that solve real-world challenges. I am passionate about exploring emerging AI technologies and applying them to drive innovation.Let’s connect to collaborate on data-driven projects and AI advancements!

Experience

1. Specialist Programmer (Generative Ai Developer)

   Infosys

   Jul 2025 — Present · Pune, IN

   Led design and delivery of the Procurement Front Door Agent — a conversational assistant used by Oracle procurement users to find forms, check request status, and access training materials. Built a Retrieval-Augmented Generation pipeline and multi-agent flows using LangChain and LangGraph; integrated SharePoint, Oracle and Snowflake so users get accurate, real-time answers. Added MCP (Model Context Protocol) to standardize how the agent shares context with tools and services, making it easier to plug in new data sources and capabilities later. Implemented guided intake workflows and a weekly learning report that highlights missing knowledge or content gaps for the procurement team to act on. Reduced manual lookups and repetitive support questions by centralizing procurement guidance and status checks in one conversational entry point Tech: LangChain, LangGraph, MCP, Gemini, GPT-4.1 models, ChromaDB, FAISS, FastAPI, SharePoint API, Oracle, Snowflake, Docker, Azure

Education

• Shivaji University

  Bachelor of Technology - BTech, Mechanical Engineering

  2019 — 2022

• Sanjay Ghodawat Institute

  Diploma of Education, Mechanical Engineering

  2016 — 2019