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I'm Anirban Chatterjee, a Senior ML Engineer with 11+ years of experience spanning Generative AI, NLP, and mathematical modeling across banking, insurance, and defense sectors. I specialize in LLM development, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and ontology-based data lineage tracing, and I have a proven track record of reducing operating costs and delivering production GenAI systems while handling sensitive data. I’ve led cross-functional teams of up to 12 members and have strong roots in both academia and industry. I began my career as an Assistant Professor in Mathematics with research in cryptographic systems and secure AI deployments. My work extends to cryptanalysis, secure hashing, and public-key cryptography. I enjoy turning complex data problems into scalable AI solutions that empower decision-making and drive business value.…I'm Anirban Chatterjee, a Senior ML Engineer with 11+ years of experience spanning Generative AI, NLP, and mathematical modeling across banking, insurance, and defense sectors. I specialize in LLM development, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and ontology-based data lineage tracing, and I have a proven track record of reducing operating costs and delivering production GenAI systems while handling sensitive data. I’ve led cross-functional teams of up to 12 members and have strong roots in both academia and industry. I began my career as an Assistant Professor in Mathematics with research in cryptographic systems and secure AI deployments. My work extends to cryptanalysis, secure hashing, and public-key cryptography. I enjoy turning complex data problems into scalable AI solutions that empower decision-making and drive business value.

Anirban Chatterjee

AI Engineer, Data Scientist, Developer, +3

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I'm Anirban Chatterjee, a Senior ML Engineer with 11+ years of experience spanning Generative AI, NLP, and mathematical modeling across banking, insurance, and defense sectors. I specialize in LLM development, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and ontology-based data lineage tracing, and I have a proven track record of reducing operating costs and delivering production GenAI systems while handling sensitive data. I’ve led cross-functional teams of up to 12 members and have strong roots in both academia and industry. I began my career as an Assistant Professor in Mathematics with research in cryptographic systems and secure AI deployments. My work extends to cryptanalysis, secure hashing, and public-key cryptography. I enjoy turning complex data problems into scalable AI solutions that empower decision-making and drive business value.…I'm Anirban Chatterjee, a Senior ML Engineer with 11+ years of experience spanning Generative AI, NLP, and mathematical modeling across banking, insurance, and defense sectors. I specialize in LLM development, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and ontology-based data lineage tracing, and I have a proven track record of reducing operating costs and delivering production GenAI systems while handling sensitive data. I’ve led cross-functional teams of up to 12 members and have strong roots in both academia and industry. I began my career as an Assistant Professor in Mathematics with research in cryptographic systems and secure AI deployments. My work extends to cryptanalysis, secure hashing, and public-key cryptography. I enjoy turning complex data problems into scalable AI solutions that empower decision-making and drive business value.

Available to hire

I’m Anirban Chatterjee, a Senior ML Engineer with 11+ years of experience spanning Generative AI, NLP, and mathematical modeling across banking, insurance, and defense sectors. I specialize in LLM development, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and ontology-based data lineage tracing, and I have a proven track record of reducing operating costs and delivering production GenAI systems while handling sensitive data. I’ve led cross-functional teams of up to 12 members and have strong roots in both academia and industry.

I began my career as an Assistant Professor in Mathematics with research in cryptographic systems and secure AI deployments. My work extends to cryptanalysis, secure hashing, and public-key cryptography. I enjoy turning complex data problems into scalable AI solutions that empower decision-making and drive business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

GraphQL

Intermediate

Language

English

Fluent

Hindi

Advanced

Afar

Advanced

Work Experience

Lead Machine Learning Engineer at Synechron

August 1, 2024 - Present

Led the design and delivery of multiple AI platforms including a Neo4j-based data lineage tracking platform for Commonwealth Bank of Australia resulting in $200M cost savings. Developed legacy code migration tools utilizing AWS Bedrock models reducing costs by over $150k. Engineered secure ChatGPT wrappers with RAG pipelines for UPL, saving $200k in compliance risk. Managed teams of up to 9 engineers and evaluated SDLC tools to optimize code migration and generation. Automated multi-format AI newsletter generation using LLM agents and content validation tools.

Data Scientist at CHUBB

August 31, 2024 - July 25, 2025

Led NLP pipeline to reduce manual annotation by 70%, mapped header types to catastrophe model standards, and developed a Knowledge Graph + LLM framework that automated 90% of policy coverage checks saving 200+ hours monthly. Created KG-RAG integrations to improve claim processing accuracy by 35%. Developed LangChain agents for self-healing code POC and identified debugging challenges with mitigation strategies.

Assistant Professor (Mathematics) at University of Delhi

April 30, 2023 - July 25, 2025

Conducted research on cryptanalysis applying neural networks to enhance decryption in symmetric DES cryptography for Ministry of Defence projects. Evaluated the impact of HMAC on message integrity for DRDO's Scientific Analysis Group. Developed public-key cryptosystems using deterministic AKS-based RSA implementations.

Lead Machine Learning Engineer at Synechron

August 1, 2024 - Present

Led data lineage platform development for Commonwealth Bank of Australia using Neo4j integrating multiple data warehouses. Automated documentation with Claude 3.7 Sonnet models, contributing to significant cost savings. Managed a team of 5 for ontology-aligned data lineage projects. Engineered legacy code migration solutions with custom C# parser and RAG plus Auto-CoT pipelines on AWS Bedrock to accelerate documentation and reduce migration costs. Developed secure ChatGPT wrapper with model routing logic for UPL, preventing data leaks and saving compliance risks. Managed a 9-person engineering team through development and testing. Automated newsletter generation using LLM agents enhancing content validation and dissemination.

Data Scientist at CHUBB

August 31, 2024 - July 27, 2025

Led NLP pipeline development reducing manual annotation by 70%, mapped header types to standards for catastrophe models. Automated policy coverage checks using Knowledge Graph and LLM frameworks, saving over 200 monthly hours. Developed KG-RAG integration improving claims processing accuracy by 35%. Created LangChain agent for code auto-repair addressing debugging challenges.

Assistant Professor (Mathematics) at University of Delhi

April 30, 2023 - July 27, 2025

Conducted research in cryptanalysis using ML to improve decryption accuracy of symmetric cryptography. Evaluated HMAC impact on message integrity for DRDO. Developed public-key cryptosystems with RSA implementations based on AKS algorithm. Contributed to defense research projects with strong mathematical foundations.

Lead Machine Learning Engineer at Synechron

August 1, 2024 - Present

Led the design and implementation of a Neo4j-based data lineage platform integrating 3+ data warehouses using Cypher and GraphQL; automated documentation with Claude 3.7 Sonnet, enabling stakeholder transparency and contributing to $200M in cost savings for Commonwealth Bank of Australia; led a 5-member team to deliver ontology-aligned data lineage for product intelligence. Implemented an RAG + Auto-CoT pipeline with AWS Bedrock for English documentation generation, reducing migration costs by $150k+.

Data Scientist at CHUBB

August 1, 2024 - September 15, 2025

SOV Ingestion NLP pipeline reduced manual annotation by 70% (≈100 hours/week) and mapped 200+ header types to catastrophe model standards. Built Adjudicator’s Copilot automating 90% of policy coverage checks, saving 200+ hours monthly. Developed KG-RAG integration improving claim processing accuracy by 35% and led a Self-Healing Code POC using LangChain for code auto-repair.

Assistant Professor (Mathematics) at University of Delhi

April 1, 2023 - September 15, 2025

Cryptanalysis using ML to enhance decryption in symmetric DES; Secure Hashing research for DRDO’s Scientific Analysis Group; RSA & AKS algorithms with deterministic RSA implementations.