Rahul Tyagi
Generative AI Engineer l LLM Reasoning l Multi-Agent Systems
- Role
- Senior Manager (Genai) at Exl
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Rahul Tyagi
Proficient AI Engineer with 5+ years of experience in the field of AI and Machine…
Experience
Senior Manager (Genai)
Nov 2024 — Present · IN
Self-Refining Multi-Agent System: Implemented self-refinement(iterative-refinement) test-time compute strategy with LLM-driven self-feedback in a multi-agent system, enabling agents to critique their own intermediate responses and iteratively revise them, leading to improved reasoning consistency and factual correctness. Tools/Libs: LangGraph, Lama-3.1-8b model, LangSmith- Best-of-N Sampling Agentic System: Implemented best-of-N sampling test-time compute strategy in a multi-agent system to evaluate multiple candidate responses at test time, selecting the most coherent and accurate output by incorporating enhanced LLM reasoning. Tools/Libs: LangGraph, Lama-3.1-8b model, LangSmith- LangGraph app Deployment: Packaged and deployed the multi-agent reasoning system using LangGraph CLI, exposing it as a LangGraph app with accessible API endpoints for real-time LLM interaction. Tools/Libs: langgraph-cli
Education
Maharaja Surajmal Institute Of Technology (affiliated to Guru Gobind Singh Indraprastha University)
Engineer’s Degree, Computer Science
2013 — 2017
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