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Tanay Singh

@tanaysingh1

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I build production AI systems using RAG, LLMs, multi-agent reasoning, and reinforcement learning.

India

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What I'm looking for

I'm looking to build production AI products involving RAG, LLMs, agentic and multi-agent systems, and reinforcement learning, where I can solve real-world problems through scalable, safe, and measurable intelligent services.

I'm building EduHubSpot's RAG-based AI tutor for PMP, CAPM, and PMBOK learners, combining hybrid BM25 and semantic retrieval, LangChain, and vector search to support grounded doubt resolution at scale.

Previously at Pyrotech Technologies, I deployed a production document-intelligence platform using LangChain, ChromaDB, Ollama, OCR, and FastAPI. The system reduced employee research time by 80% through semantic search, metadata extraction, optimized chunking, reranking, and automated ingestion.

I also develop multi-agent and reinforcement-learning systems, including the A-ADCT decision control tower accepted at IEEE ICAIIA 2026. My work spans safe autonomous operations, cloud resource scheduling, computer vision, and AI products that turn complex information into actionable decisions.

Experience

Work history, roles, and key accomplishments

Current

AI Product Executive

Current

EduHubSpot

Jun 2026 - Present (3 months)

Architecting a RAG-based AI tutor over PMP/CAPM/PMBOK content using hybrid BM25 + semantic retrieval, LangChain, and vector search. Designing an adaptive personalization engine and building an LLM-powered question generation pipeline.

RAG Lang Chain BM25 Vector Search LLM Personalization Question Generation

AI Engineer Intern

Pyrotech Technologies Pvt. Ltd.

May 2025 - Aug 2025 (3 months)

Architected and deployed a production-grade RAG system using LangChain, ChromaDB, and Ollama, enabling enterprise-scale document intelligence. Reduced employee research time by 80% by integrating OCR pipelines and semantic search into a FastAPI microservices backend.