Open to opportunities

Shlok Naidu

@shloknaidu

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I build production-minded agentic AI and RAG products from retrieval pipelines to full-stack deployment.

India

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What I'm looking for

I'm looking to build end-to-end agentic AI and RAG products where I can turn retrieval, orchestration, and full-stack engineering into fast, reliable user experiences.

I've built RAG and multi-agent systems at Moreyeahs IT Technologies, including a hybrid BM25 and vector-search agent with roughly 25ms retrieval and cross-encoder reranking, plus a Groq Llama 3.3 orchestrator that routes requests across six specialized agents.

For GyaanSetu, a UDBHAV'26 runner-up, I built the backend and RAG tutor, delivering course-content answers in about 380ms and quiz grading for 100 MCQs in under 1ms. I led ideation and feature selection during the 24-hour hackathon, shipping adaptive quizzes, offline mode, and career guidance.

I've also built SherySense, a lecture-video tutor with sub-6ms transcript search, and HELIX, a gene-guided prescribing platform with deterministic rules and guarded LLM explanations. Alongside AI work, I ship complete MERN applications and have deployed community event websites for AWS Cloud Clubs.

Experience

Work history, roles, and key accomplishments

AI/ML Trainee Intern

Moreyeahs IT Technologies

May 2026 - Jul 2026 (2 months)

Built a RAG agent combining BM25 and vector search with cross-encoder reranking, and a multi-agent orchestrator routing requests to specialized agents.

RAG BM25 Vector Search LangGraph GROQ