---
title: "Anmol Jain - AI Engineer in Pune Division | Tal"
description: "Meet Anmol Jain, AI Engineer | Turning Tokens into Impact | LLMs, Agents, Infra & Beyond based in Pune Division. AI stack includes claude, codex, and cursor."
image: "https://tal.club/meet/anmol-jain-2/share-image"
---

# Anmol Jain on Tal

## Headline

AI Engineer \| Turning Tokens into Impact \| LLMs, Agents, Infra & Beyond

## About

I build AI systems that ship to production and work at scale\. Over the past 4 years, I've gone from building analytics dashboards to architecting multi\-agent platforms that process millions of documents, generate clinical summaries, and automate complex business workflows\. What I do best: → Multi\-Agent Systems: Built agentic AI platforms processing surrogacy datasets into structured clinical summaries at Telomere\. Designed multi\-agent pipelines for lead research, tone control, and qualification at Accacia \(10K\+ users onboarded\)\. → Document Intelligence: Architected a LayoutLM\-based extraction system at Turtlemint — 95% F1 across 103 entity classes, 10M\+ policy documents processed, latency reduced from 11 minutes to 11 seconds\. → RAG & Retrieval: Built contract\-aware RAG systems for compliance validation, GraphRAG\-powered pitch deck generators using Neo4j, and hybrid search pipelines with re\-ranking and context optimization\. → Production Engineering: I don't build demos\. Every system I've built handles real traffic — 10K\+ requests/hour, Kafka/RabbitMQ message queues, AWS infrastructure with monitoring and alerting\. Currently: AI Engineer at Telomere, building agentic AI for healthcare — turning fragmented medical records into structured clinical summaries that save medical teams hours of manual chart review\. Previously: Shipped AI at Accacia \(B2B outreach automation\) and Turtlemint \(document AI for insurance\)\. Tech I work with daily: Python, FastAPI, LangChain, LangGraph, OpenAI, Claude, Neo4j, PostgreSQL, AWS, Docker, Kubernetes\. Let's connect if you're building something interesting with AI, or if you need someone who can take your AI from prototype to production\. 📅 Book a call: https://cal\.com/anmol/intro 🌐 Portfolio: https://anmoljain\.me

## Location

Pune Division

## AI stack

claude

codex

cursor

## Work experience

AI Engineer at TELOMERE, Nov 2025 \- Present · 9 mos, Washington, United States, Building an agentic AI platform for healthcare , processing large\-scale surrogacy datasets and generating structured, citation\-backed clinical summaries\. Key work: • Designed multi\-stage pipelines for ingestion, parsing, embedding, retrieval, and summarization across fragmented medical records • Implemented multi\-agent workflows to extract pregnancy timelines, family medical history, prenatal/delivery summaries, and vaccination records • Generated structured 4\-page clinical summaries, significantly reducing manual chart review effort for medical teams • Developed a contract\-aware RAG system to validate surrogate expense requests against complex legal agreements • Automated DR request workflows with real\-time compliance checks, reducing manual intervention • Deployed scalable infrastructure using AWS CDK and CloudFormation with load balancing, monitoring, and alerting Impact: Reduced hours of manual medical chart review to minutes\. Enabled real\-time compliance validation for surrogate expense requests\.

AI Engineer at Accacia, Jan 2025 \- Oct 2025 · 10 mos, Bengaluru, Designed and deployed an AI\-driven outreach automation platform for hyper\-personalized B2B messaging\. Onboarded 10K\+ users\. Key work: • Built full\-stack architecture \(FastAPI, Supabase, PostgreSQL\) with scalable cloud\-native deployment • Implemented multi\-agent pipelines for lead research, tone control, and qualification logic • Applied entity extraction \+ semantic scoring for dynamic personalization across company, industry, and persona context • Engineered an AI\-powered Chrome extension automating LinkedIn and Gmail outreach with real\-time, context\-aware message generation • Built a pitch deck generation system using Neo4j \+ GraphRAG — modeled company/industry/persona relationships in graph databases and generated tailored PowerPoint sales decks Impact: 10K\+ users onboarded with analytics via PostHog\. Production\-grade pipelines with polling, chunking, and fallback mechanisms\.

Software Engineer at Turtlemint, Jul 2022 \- Nov 2024 · 2 yrs 5 mos, •Engineered a robust end\-to\-end data extraction pipeline utilizing CLAUDE Haiku LLM, designed to process and extract complex data from PDF documents across diverse formats • Developed a flexible and configurable framework to efficiently store Prompts, Extraction keys, and Key Types, enabling seamless adaptability to extract data from any type of document • Innovated a custom in\-house PDF policy parser for md conversion with enhancements to libraries like pymupdf and pdfminer, drastically optimizing token usage and boosting extraction accuracy to nearly 99%, integrating data from 40 insurers across motor, life, and health verticals • Led the architectural design and implementation of 6 microservices \(Classification, OCR, NER, Backend, Frontend,QIS\), achieving a dramatic reduction in data extraction time from 11 minutes to 11 seconds for a 80\-page document for over 60 fields • Utilized SVM\-based text classification with keyword analysis for page importance\. • Used AWS Textract OCR service to extract text from important pages\. • Trained LayoutLM Transformer\-based NER model achieving over 92% accuracy\. • Deployed model using Torch Serve and contributed to automated model training and deployment platform with AWS SageMaker pipeline integration • Implemented RabbitMQ and Kafka for efficient message queuing and processing, successfully handled over 1 million documents

Tech Intern at Turtlemint, Feb 2022 \- Jul 2022 · 6 mos

## Education

Bachelor of Technology \- BTech, Computer Engineering, Vishwakarma Institute of Technology

[View the original profile](https://tal.club/meet/anmol-jain-2)

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