--- title: "Rajarajan Venkatesan - Senior AI Lead in Greater Bengaluru Area | Tal" description: "Meet Rajarajan Venkatesan, Applied AI architect | Senior Forward Deployed AI Engineer | LLM/RAG Systems (LangGraph, LangChain) | Patent Holder (US11520685) | 14 Yrs Enterprise Delivery → AI Architecture | 7 years of Fintech Depth --Ex-Fidelity based in Greater Bengaluru Area. AI stack includes clau..." image: "https://tal.club/meet/rajarajan-venkatesan/share-image" --- # Rajarajan Venkatesan on Tal ## Headline Applied AI architect \| Senior Forward Deployed AI Engineer \| LLM/RAG Systems \(LangGraph, LangChain\) \| Patent Holder \(US11520685\) \| 14 Yrs Enterprise Delivery → AI Architecture \| 7 years of Fintech Depth \-\-Ex\-Fidelity ## About 14 years in enterprise delivery taught me systems fail at the edges no one looks for\. Over a decade architecting and delivering solutions across financial services and enterprise technology at TCS, Fidelity Investments, and Coforge — now applying that same rigor, plus a bias toward auditability and control, to building AI systems banks and regulated enterprises can actually trust\. What I've shipped: Designed and built a multi\-agent engineering delivery risk platform — LangGraph agents coordinating via Agent\-to\-Agent \(A2A\) protocol, tool access exposed through MCP, RAG\-grounded retrieval, and a governance layer built for regulated environments: decision logging for full auditability, confidence\-threshold triggers for human review, and output validation guardrails\. Containerized with Docker/Kubernetes, served via FastAPI, evaluated with a dedicated eval framework\. Also shipped a production loan\-decisioning API with RAG\-grounded regulatory context, full LLM tracing, and a CI/CD\-tested pipeline — details on request\. Track record: Led a 12\-member team, client\-facing onsite in Australia \(TCS, VHA Telecom\) Directed validation for a 1,200\-table, 1\.9TB Greenplum\-to\-Databricks migration \(Coforge\) Co\-invented a USPTO\-patented test orchestration framework, US11520685 \(Fidelity Investments\) Delivered enterprise QA/test architecture within a regulated financial services environment \(Fidelity Investments\) Currently completing IIT Roorkee's Forward Deployed AI Engineering program \(Python, ML, RAG, LangChain, LLMOps\)\. Stack: Python \| LangGraph \| Multi\-Agent Systems \(A2A\) \| MCP \| RAG \| Docker/Kubernetes \| FastAPI \| LangChain \| LLMOps Open to: Forward Deployed AI Engineer \| AI Architect \| Solutions Architect roles — financial services & regulated enterprise ## Location Greater Bengaluru Area ## AI stack claude code claude langchain langgraph n8n ollama ## Work experience Senior AI Lead at Coforge, Oct 2024 \- May 2026 · 1 yr 8 mos, Greater Bengaluru Area, Coforge — Lead AI Engineer → Architect, Virgin Australia Migration Programme Oct 2024 – May 2026 ➤ Led AI engineering and architecture for automated migration sequencing — scaled from 1,000 tables \(manual\) to 7,000 tables / 3\.9 TB ➤ Built a daily\-replanning decision pipeline determining which table migrates when and why, with stakeholder escalation on change ➤ Converted a year of manual dependency mapping into labelled training data for table/workflow/business\-unit relationships ➤ Built a RAG layer over migration rules and 390 prior decisions, so the pipeline reasoned from precedent, not re\-derivation ➤ Built LangChain/LangGraph orchestration with RAGAS evaluation, guardrails and human\-in\-the\-loop approval ➤ Delivered automated migration to sign\-off in 6 months — 5x first\-phase scale in comparable time, on Azure ➤ Client\-facing throughout: led discovery, deployment and delivery presentations ➤ Architected an agentic loan\-underwriting product \(credit/underwriting agents, FAISS RAG\) for US banking engagements Principal Software Engineer at Fidelity Investments, Jun 2023 \- Jul 2024 · 1 yr 2 mos, Bengaluru, Karnataka, India · Hybrid, ➤ Co\-invented USPTO Patent US11520685 — an end\-to\-end business orchestration framework built in Java and Python, integrating browser, desktop and 3270 mainframe automation ➤ Delivered the platform as an internal product used by squads org\-wide, exposed via a Spring Boot REST API with batch human approval before execution ➤ Designed the tag taxonomy and JSON interchange linking a case from trigger through execution to reporting — removing the need for bespoke per\-integration harnesses ➤ Designed and deployed a traceability solution on AWS \(S3, EC2, Lambda\); ran Gremlin chaos engineering for zero\-downtime validation ➤ Received the Fidelity Luminary Award for cross\-functional delivery impact across engineering, data platform and DevOps LEAD \-Software Engineer at Fidelity investments at Fidelity Investments, Jun 2019 \- May 2023 · 4 yrs, Bengaluru, Karnataka, India · Hybrid, ➤ Led COE team activities to build an org\-level automation framework connecting integration testing across multiple tools and test types — later formalized as a patented product \(US11520685\) ➤ Owned the integration test tool as declared SME, from requirements traceability and test strategy through to org\-wide adoption ➤ AWS Cloud Migration SME — guided teams migrating data and analysis workloads onto AWS \(S3, EC2, SNS, SQS, API Gateway, CloudFront, IAM, Lambda, Elastic Beanstalk, Redis, DynamoDB, Cognito\) ➤ Recognized as one of Fidelity's Best SMEs in 2020, awarded the Luminary trophy for cross\-functional delivery impact Automation Test Lead at Tata Consultancy Services, Jul 2015 \- Jun 2019 · 4 yrs, ➤ Led automation engineering across Java/Selenium WebDriver frameworks — scripting, regression suite design, defect identification and retesting for investment banking and payments clients \(RBC Bank, Marks & Spencer\) ➤ Automated Siebel and desktop application testing using TOSCA, extending coverage beyond web\-based regression into enterprise CRM and billing systems ➤ Wrote SQL\-based validation scripts for authorization and subscription features, plus ETL data\-integrity checks \(IBM MQ, DataStage\) across a Mainframe → SAP migration ➤ Owned end\-to\-end regression testing — feature identification, script execution, results analysis, and daily/weekly status reporting to stakeholders ➤ Reviewed automation scripts across the team to maintain code quality and consistency in the regression suite ➤ Client\-facing onsite delivery lead in Australia \(VHA Telecom, 2015\) — led a 6\-member engineering team, owned stakeholder communication and zero\-defect releases on Siebel/Fusion CRM and billing systems Data Analyst at Tata Consultancy Services, Aug 2011 \- Jun 2015 · 3 yrs 11 mos, My responsibilities include \*Handling projects and team of 9 members \*OBIEE data analytics and campaign management \*Release level tracking \*Business knowledge distribution among peers \( telecom\- Order management \- CRM \- Siebel\) \*Preparing automation scripts for web application \*Automating Release level data management through using macros and DB connectivity \. ## Education Bachelor of Technology \(BTech\), Computer Science, Shanmugha Arts, Science, Technology and Research Academy HSC, Computer Science, Kalayana sundaram higher secondary school ## Public links - github: https://github\.com/Rajarajan1087 [View the original profile](https://tal.club/meet/rajarajan-venkatesan) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/rajarajan-venkatesan#person", "name": "Rajarajan Venkatesan", "url": "https://tal.club/meet/rajarajan-venkatesan", "image": "https://tal.club/meet/rajarajan-venkatesan/profile-photo.jpg", "description": "Meet Rajarajan Venkatesan, Applied AI architect | Senior Forward Deployed AI Engineer | LLM/RAG Systems (LangGraph, LangChain) | Patent Holder (US11520685) | 14 Yrs Enterprise Delivery → AI Architecture | 7 years of Fintech Depth --Ex-Fidelity based in Greater Bengaluru Area. 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