--- title: "Pratham Shirbhate - SDE 1 in Mumbai | Tal" description: "Meet Pratham Shirbhate, Scaling AI Agents in Production | AI Engineer | LangChain · LangGraph · RAG · MCP · Amazon Bedrock | Python · Java · React Next.js based in Mumbai. AI stack includes claude code, codex, and cursor. Explore public work links including github." image: "https://tal.club/meet/pratham-shirbhate/share-image" --- # Pratham Shirbhate on Tal ## Headline Scaling AI Agents in Production \| AI Engineer \| LangChain · LangGraph · RAG · MCP · Amazon Bedrock \| Python · Java · React Next\.js ## About I build AI systems that actually ship\. Not demos — things people use every day\. At Nomura, I found a validation problem everyone had accepted as unfixable: a financial compliance report with 150 columns × 60 rows that took about a week to validate manually\. I pitched it, designed it, and built an AI web validation agent — LangChain, Playwright MCP, in\-house LLM APIs, with deterministic tool\-calling flows so it can't hallucinate its way through financial data\. It now does the job in \~7 minutes and developers use it daily to self\-test before QA handoff\. I owned the whole thing: spotting the problem, getting buy\-in, building it, driving adoption\. Same with the test automation framework I built there from scratch — cut the regression pack from 80 minutes to 55\. Other things I've built: A RAG resume screening system running as a distributed deployment — Celery workers on Kubernetes, Amazon Bedrock for inference, FAISS retrieval with cross\-encoder re\-ranking, RAGAS for evaluation, LangSmith for tracing\. A government\-scheme RAG chatbot \(FAISS \+ Neo4j hybrid, 23 Indian languages\) — Top 105 globally at GDG Solutions Challenge 2025, out of 64,000\+ registrations\. Also: an e\-commerce microservices platform on AWS EKS, and a real\-time chat system handling 500 concurrent users with an 80% latency improvement\. Stack: Python, Java, TypeScript · LangChain, LangGraph, CrewAI, AutoGen · RAG, FAISS, Pinecone · MCP \(FastMCP, custom servers\) · Anthropic API, Amazon Bedrock · Docker, Kubernetes, AWS · React, Next\.js, Spring Boot LeetCode Knight — 1800\+, top \~3% globally\. Anthropic\-certified: MCP Advanced Topics, Claude with Amazon Bedrock, AI Fluency\. B\.Tech in Computer Science \(AI & ML\), SPIT Mumbai, June 2026 graduate\. Open to AI Engineer roles\. prathamshirbhate1909@gmail\.com ## Location Mumbai ## AI stack claude code codex cursor github copilot mcp ## Work experience SDE 1 at NxtPe, Jul 2026 \- Present · 1 mo, remote, AI Microservice & RAG : • Built a centralized AI routing microservice and agentic workflows for production LLM traffic — prompt/task\-based model routing, image/Base64 processing — with observability into token usage, model parameters, confidence, and routing behavior for measurable platform impact\. • Built a production RAG pipeline over a vector store, converting unstructured business knowledge \(PPT/PPTX\) into metadata\-rich, incrementally updatable embeddings; paired with a recurring weekly/biweekly evaluation loop that uses observed production behavior to improve agent routing and triage logic\. Chattyv2 : • Built a configurable conversational commerce engine \(Java, Spring Boot\) shipped to production; designed a 5\-stage deterministic message resolution pipeline \(interactive reply → alias → regex → configurable LLM intent\-triage fallback → human escalation\), sustaining 20k messages/sec peak throughput\. • Engineered a resilient, resumable hot\-path / cold\-path architecture over an Apache Kafka broker with concurrent, retry safe asynchronous execution: the hot path resolves messages against compiled flows in a Caffeine cache backed by Redis \(off PostgreSQL\) while the cold path asynchronously persists execution records — decomposed into 5 sub\-modules within a single pod\-scalable microservice on Kubernetes\. • Built a durable, graph\-based workflow engine modeling conversational journeys as executable nodes/transitions with bounded state and breadcrumb traversal — enabling deterministic, resumable and fully configurable execution that can resume from controlled states\. Software Engineer Intern at Nomura, Jan 2026 \- Jun 2026 · 6 mos, Mumbai, Compressed a week\-long financial compliance report validation \(150 cols × 60 rows\) to \~7 minutes by building a self\-initiated AI web validation agent using LangChain, Playwright MCP, and in\-house LLM APIs, with deterministic tool\-calling flows as hallucination guardrails — now in daily production use by developers for pre\-QA self\-testing\. Owned end to end: problem discovery, design, build, and adoption\. Cut repetitive 4\-minute test flows to under 15 seconds by engineering custom MCP tools; the agent auto\-generates verified Python Playwright regression scripts and files Jira defects autonomously, reducing early\-stage defect leakage\. Reduced regression pack execution 31% \(80 → 55 min\) by architecting a UI automation framework from scratch in Core Java, Selenium WebDriver, and Cucumber\-Gherkin BDD for a globally deployed equities trading platform; delivered 2 full release sign\-offs in a single week\. Full Stack Developer Intern at Octosell AI, Oct 2024 \- Jan 2025 · 4 mos, Remote, Expanded the paid\-tier feature surface of a production Shopify plugin by shipping 2 post\-subscription features \(analytics chat logs panel, setup guide panel\) using React, TypeScript, GraphQL, and Node\.js\. Eliminated settings drift across 3 surfaces \(admin panel, preview editor, theme editor\) by building a metafields\-based sync system\. Reduced client\-reported UI inconsistencies by overhauling mobile and desktop plugin UI/UX into reusable, responsive React components\. ## Education Bachelor of Technology, Computer Science \(AIML\), Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai ## Public links - github: https://github\.com/pra2107tham [View the original profile](https://tal.club/meet/pratham-shirbhate) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/pratham-shirbhate#person", "name": "Pratham Shirbhate", "url": "https://tal.club/meet/pratham-shirbhate", "image": "https://tal.club/meet/pratham-shirbhate/profile-photo.jpg", "description": "Meet Pratham Shirbhate, Scaling AI Agents in Production | AI Engineer | LangChain · LangGraph · RAG · MCP · Amazon Bedrock | Python · Java · React Next.js based in Mumbai. AI stack includes claude code, codex, and cursor. 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