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Pratyush Khengle

Agentic AI Engineer

IIT Madras grad shipping production multi-agent systems LangGraph, RAG, and agentic automation.

Experience & Education

Indian Institute of Technology Madras

B.Tech

2021 – 2025

Chennai, India

CGPA: 8.14

ACR Office, IIT Madras

Full Stack Engineer

Jun 2023 – Jul 2023

Chennai, India

Built a PHP/MySQL workflow system streamlining task management for a 150+ person workforce.

Reomnify

AI / LLM Research Intern

Dec 2023 – Jan 2024

Remote

Built a production RAG pipeline over 200+ docs with Sentence Transformers + ChromaDB; Nanonets OCR ingestion expanded the corpus 3× and cut cross-document research time by 70%.

Chubb

Machine Learning & Operations Engineer

Jun 2025 – Present

Bangalore, India

Designing and shipping production multi-agent systems for ML reliability and operations automation.

Recent Projects

Sherlock

Self-healing 4-agent LangGraph pipeline (debug → evaluator → sandbox verifier → PR) that turns failing Databricks jobs into merge-ready PRs autonomously — cutting debug-to-fix from 3–4 hours to under 5 minutes.

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Automated AI-Influencer

Agentic pipeline converting raw ideas into short-form videos — LLM reasoning layer generates scripts and visual prompts through a multi-step generative workflow.

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BlogSpace

A sleek markdown-powered blog app with real-time content publishing using Next.js.

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Wanna Collaborate?

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Skills

Programming

PythonC++JavaScript

AI Systems

Agentic AIMulti-Agent OrchestrationLLMsRAGTool-CallingPrompt Engineering

LLM Tools

LangGraphOpenAI APIGemini APIModel Context Protocol (MCP)

Backend & Systems

FastAPINode.jsKafkaREST APIsAsynchronous Pipelines

Frontend

React.jsNext.jsTailwind CSS

Data & Retrieval

Vector DatabasesEmbeddingsChromaDB

Databases

SQLMongoDBSupabase

What am I upto?

Learning Agentic AI
Currently deep-diving into agentic AI frameworks — LangChain, CrewAI, and multi-agent system design.
Chubb
ML & Operations Engineer @Chubb
Building LLM agent workflows and AI-driven pipelines.
Agentic AI Projects
Building one production-grade AI system every quarter — agentic workflows, multi-modal pipelines, and LLM-powered automation.