Mangesh Wahatule
@mangeshwahatule
I build Agentic AI workflows, RAG pipelines, and full-stack applications with Python and React.
IndiaWhat I'm looking for
I've built Agentic AI workflows and scalable LLM-integrated backend services during my internship at Innomatics Research Labs, using LangChain, LangGraph, Python, and FastAPI.
My projects include an AI Resume Screener that evaluates candidate profiles against job requirements and uses LangSmith to monitor and debug LLM pipeline inputs and outputs. I also built a RAG-based customer support assistant with FAISS and Docker for efficient retrieval and reproducible deployment.
With CodeIn, I created a browser extension that aggregates coding data from LeetCode, Codeforces, HackerRank, and GeeksforGeeks, with a React and Vite interface for tracking coding streaks.
I'm pursuing a B.E. in Artificial Intelligence and Machine Learning and enjoy applying AI, backend, and full-stack tools to practical products.
Experience
Work history, roles, and key accomplishments
Agentic AI Intern
Innomatics Research Labs
Feb 2026 - May 2026 (3 months)
Designed and orchestrated AI workflows using LangChain, LangGraph, and autonomous AI Agents. Developed scalable backend services with Python and FastAPI for LLM integrations, applying Prompt Engineering and RAG techniques to improve response accuracy.
Education
Degrees, certifications, and relevant coursework
Genba Sopanrao Moze College of Engineering, Balewadi, Pune
Bachelor of Engineering, Artificial Intelligence and Machine Learning
2023 -
Pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning, currently in the third year.
Availability
Location
IndiaAuthorized to work in
Job categories
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