Open to opportunities

Prabhat Shah

@prabhatshah

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I build full-stack and generative AI applications using Python, LangGraph, and retrieval systems.

India

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What I'm looking for

I'm looking for opportunities in software development, generative AI, and web development where I can build practical full-stack and LLM-powered products.

I've built full-stack applications at Kodnest using Python, SQL, and JavaScript, delivering integrated data flows and faster page loads.

My recent personal projects include an LLM-powered email automation agent using LangGraph, SMTP, IMAP, and Groq, generating personalized emails, classifying replies, and orchestrating drip campaigns. I also built an AI oil and gas lease assistant with Python, LangGraph, RAG, FAISS, BM25, cross-encoder reranking, and Streamlit to speed up complex document review.

Previously, I resolved 450+ computer science problems as a Subject Matter Expert at Chegg India, maintaining 98% accuracy while creating step-by-step guides for students.

Experience

Work history, roles, and key accomplishments

Full Stack Developer Intern

Kodnest

Aug 2025 - Apr 2026 (8 months)

Developed 3+ full-stack applications using Python, SQL, and JavaScript, achieving 100% data integration and 30% faster page loads. Solved 450+ DSA problems in C++ and Python, boosting algorithm efficiency by 25% in internal benchmarks.

Python SQL JavaScript C++Data Structures Algorithms Full Stack

Subject Matter Expert, Computer Science

Chegg India Pvt. Ltd.

Sep 2022 - Sep 2023 (1 year)

Resolved 450+ Computer Science problems with 98% accuracy, earning a 4.8/5 rating from 500+ students. Authored 150+ step-by-step solution guides, reducing student re-query rate by 40% and improving clarity.

Computer Science Problem Solving