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