Financial Services · Enterprise Engineering · Nationwide Relocation
AI-Enabled Technical Lead
Rajeswaran Dhandapani
I build secure financial-services platforms and bring AI into them responsibly.
15+ years designing scalable systems and guiding full-stack delivery from architecture through production.
Enterprise platform leadership
with practical AI delivery
Career impact
Architecture judgment backed by hands-on delivery
I connect durable Java platform engineering with modern AI capabilities, helping teams move from technical ambiguity to secure, maintainable production solutions.
Selected case studies
Enterprise AI and distributed systems, built end to end
Focused demonstrations of enterprise AI, Java platform engineering and distributed-system design.
01
AI Loan Processing Engine
- Problem
- Turn fragmented loan intake and document review into a guided, explainable workflow.
- Approach
- Agent orchestration with LangGraph, Azure Document Intelligence, Azure AI Search grounding and model-backed eligibility analysis.
- Business relevance
- Demonstrates how enterprise AI can reduce manual review while retaining validation and decision boundaries.
02
AI Banking Service
- Problem
- Give customers a conversational path to banking information without bypassing secure application services.
- Approach
- Spring AI function calling over authenticated account, transaction, payment and notification APIs with controlled chat memory.
- Business relevance
- Shows how Java teams can introduce LLM interactions while preserving service boundaries and authorization.
03
Saga-Orchestrated BaaS
- Problem
- Maintain reliable multi-service banking operations when a distributed transaction partially fails.
- Approach
- A centralized, type-safe saga framework coordinating Kafka events, service state and automatic compensation.
- Business relevance
- Demonstrates the architectural tradeoffs behind resilient onboarding, accounts and payment workflows.
Professional experience
Financial-services engineering from architecture to production
Client assignments through Suniksha Infotech, preceded by 12 years at BNY Mellon and its technology subsidiary iNautix.
Technical Lead / Senior Full-Stack Engineer
BNY · Client assignment through Suniksha Infotech · Pittsburgh, PA
- Lead system design and delivery for secure, AI-enabled financial-services workflows.
- Build Java and Spring Boot APIs, Angular interfaces, Kafka integrations and SQL/NoSQL solutions.
- Develop document classification and extraction capabilities using Python, LLMs, LangChain, LangGraph and RAG.
- Guide technical design, engineering quality and cross-functional delivery without formal direct-report responsibility.
Full Stack Engineer
Suniksha Infotech
Legal employer for enterprise client assignments across financial services and insurance, providing Java/Spring Boot, Angular, Kafka, Python and enterprise AI delivery.
Senior Software Engineer / Full-Stack Engineer
Arbitration Forums, Inc. · Client assignment through Suniksha Infotech
- Delivered Java and Spring Boot REST microservices with Angular 17 applications for insurance recovery workflows.
- Modernized the front end with Bootstrap 5 and reusable components, expanding Cypress component and end-to-end coverage.
- Applied transaction-management, SQL, Docker, CI/CD and OWASP-aligned secure-development practices.
Vice President | Full-Stack Engineer
BNY Mellon · Pittsburgh, PA
- Led system design and delivery of a scalable white-label platform supporting multiple branded financial-services websites.
- Built Java, Spring Boot and Spring Cloud microservices with REST APIs and SQL/NoSQL integrations.
- Developed Angular and TypeScript interfaces, integrated SiteMinder authentication and supported CI/CD release coordination.
Technical Lead
iNautix Technologies · Chennai, India
- Modernized a monolithic enterprise application into Java and Spring Boot microservices with REST integrations.
- Designed a scalable CRM platform with SQL persistence and enterprise-system integrations.
- Built Angular and TypeScript interfaces and supported code reviews, CI/CD, releases and Agile delivery.
Technical capabilities
Enterprise engineering depth with full-stack and AI range
From the platform layer to the user interface, and the AI workflows connecting them.
Java platform engineering
Java, Spring Boot, Spring Cloud, REST APIs, microservices, Kafka, SQL/NoSQL and transaction design.
Full-stack delivery
Angular, TypeScript, reusable UI architecture, Cypress, responsive design and secure API integration.
Enterprise AI
Python, LLM workflows, LangChain, LangGraph, RAG, document intelligence, prompt evaluation and responsible controls.
Architecture & DevOps
System architecture, distributed transactions, OAuth/OIDC, OWASP, Docker, CI/CD, Azure and AWS.
Selected credentials
Cloud and AI certifications
Microsoft and AWS associate-level certifications, plus continued learning in generative and agentic AI.
Professional background
Technical leadership grounded in implementation
I have spent more than fifteen years building and modernizing enterprise applications, from Java and Spring platforms to Angular experiences and event-driven integrations. My strongest contribution is connecting architecture decisions to the code, delivery practices and operational realities that make systems sustainable.
Today, I extend that foundation with enterprise AI patterns—including document processing, model evaluation, RAG and agent workflows—while keeping security, traceability and human validation central to the solution.
Contact
Looking for a technical lead who bridges enterprise platforms and AI?
I am exploring stable full-time opportunities across the United States and am open to nationwide relocation for the right role.