Hands-on leadership driving enterprise AI & GenAI adoption with measurable business impact
Accomplished Principal Architect driving enterprise-scale AI/ML, GenAI, data, and cloud transformations for Fortune 500 companies.
I specialize in hands-on design and delivery of production-grade AI platforms on AWS, combining modern data architecture, AI/ML, and strong data governance to enable enterprise adoption. I partner closely with C-suite executives and senior leaders to align AI initiatives with business strategy, GTM priorities, and measurable outcomes.
Throughout my career, I've led and mentored high-performing teams while driving innovation, revenue growth, and operational excellence. My expertise spans Enterprise Architecture, AI & GenAI Solution Design, Technical Product & GTM Strategy, and Executive Advisory. I remain deeply hands-on - architecting solutions, building POCs, reviewing code and IaC, and validating production readiness with customer teams.
Amazon Web ServicesPrincipal Architect – Data, AI/ML & GenAI | Apr 2019 – Present | Atlanta, GA
JP Morgan ChaseData & ML Architect | Sep 2016 – Apr 2019 | Jersey City, NJ
Credit SuisseData & ML Architect | Aug 2012 – Sep 2016 | New York, NY
Cognizant Technology SolutionsSolution Architect | Feb 2007 – Jul 2012 | New York, NY & Chicago, IL
Client: JP Morgan Chase & Northern Trust
AccentureSenior Software Engineer | Apr 2004 – Jan 2007 | Houston, TX
Client: Exxon Mobil
Cognizant Technology SolutionsProgrammer Analyst | Aug 2000 – Mar 2004 | Melville, NY
Client: First Data Merchant System
Hands-on workshop building configuration-driven multi-agent workflows with LangGraph on Amazon Bedrock AgentCore. Describe a process in plain English and let the AgentExpress Assistant draft it, design and deploy it in the Builder with CDK or Terraform, and run it with HITL review gates, Cedar-governed tools, guardrails, memory, and per-agent cost and trace observability.
Deploy Claude Code and Claude Desktop with Amazon Bedrock for enterprise teams. Set up Cognito SSO authentication with IAM OIDC federation, configure both tools against Bedrock, build OpenTelemetry dashboards for team usage monitoring, and create custom Claude Cowork skills for knowledge-worker workflows.
Comprehensive workshop on building autonomous AI agent systems for complex tasks. Master foundational LLM patterns with tools and retrieval, implement agentic workflows, and choose frameworks (Strands, CrewAI, LangChain, LangGraph). Learn to monitor, optimize, and apply agent patterns to real-world use cases.
Hands-on workshop building AI agents using Vibe Coding with Kiro and deploying to production using Amazon Bedrock AgentCore. Learn Kiro's spec-driven development, build agents with Strands SDK, and deploy using AgentCore's composable services including Identity, Gateway, Memory, Runtime, and Observability. Transform ideas into production-ready agents rapidly.
Advanced workshop building enterprise-grade AI applications with Amazon Bedrock and Claude. Master prompt engineering, implement RAG and Agentic AI using Strands, apply guardrails for responsible AI, deploy scalable solutions with AgentCore, and optimize costs. Build secure, scalable, cost-effective AI solutions for enterprise deployment.
Comprehensive workshop on Amazon Bedrock AgentCore, a fully managed service for deploying AI agents securely at scale. Build a production-ready Customer Support Agent with conversational AI, memory, security, and observability. Handle complex workflows, integrate enterprise systems, and scale to thousands of customers.
Hands-on workshop building enterprise-grade RAG applications with Amazon Bedrock, SageMaker, and OpenSearch. Master chunking strategies, metadata filtering, guardrails, reranking, and natural language to SQL for optimal retrieval accuracy and secure responses. Integrate structured data sources with Knowledge Bases.
Through technical GTM motions and solution-led workshops
Opportunities progressing from pipeline to production deployment
Enabled field teams on Bedrock and enterprise-scale GenAI adoption
Across blogs, videos, and speaking engagements
AWS re:Invent & Summit talks driving thought leadership
Stars with 68 forks, 500+ clones, 5,000+ visitors
Across various career stages and roles
Legend Award, Hackathon Wins, Gartner Finalist, TFC Platinum
Bharathidasan University, Trichy, India | April 2003
University of Madras, Chennai, India | April 2000
I'm always interested in discussing AI/ML transformations, enterprise architecture, and strategic technology initiatives.
Principal Architect - Data, AI/ML & GenAI | Enterprise Architecture | AWS
Principal Architect driving enterprise-scale AI/ML, GenAI, data, and cloud transformations, influencing $350M+ in qualified pipeline, with 40% converting to production launches across Fortune 500 companies. Trusted technical advisor to executives, leading AI-driven GTM initiatives and enterprise architecture decisions, while remaining deeply hands-on in architecture, prototyping, and production delivery. Brings deep expertise in AI/ML and GenAI, AWS cloud platforms, modern data architecture, and data governance to deliver measurable business outcomes through customer engagements and strategic adoption.
One of 158 from 6,744 members across 45 TFCs - just 18 awarded in AI/ML TFC
One of 60 exceptional builders from 130,000 across Sales, Marketing, and Global Services
Through technical GTM motions with 40% conversion to active launches
50+ public talks, 50+ videos, multiple AWS Architecture Blog articles
2025 AI Hackathon Finalist (OptiX AI), 2024 Runner-up (DevGenius), 2023 Winner (MetaSurfer), 2022 Gartner Eye on Innovation Finalist (Atomix)
Principal Architect – Data, AI/ML & GenAI | Apr 2019 – Present | Atlanta, GA
Data & ML Architect | Sep 2016 – Apr 2019 | Jersey City, NJ
Data & ML Architect | Aug 2012 – Sep 2016 | New York, NY
Solution Architect | Feb 2007 – Jul 2012 | New York, NY & Chicago, IL
Senior Software Engineer | Apr 2004 – Jan 2007 | Houston, TX
Programmer Analyst | Aug 2000 – Mar 2004 | Melville, NY
Configuration-driven multi-agent orchestrator on LangGraph and AgentCore: plain-English Assistant, visual Builder, Cedar-governed tools, HITL gates and cost observability
20-pillar governance framework with Automated Reasoning, multi-agent orchestration, and AgentCore integration for production AI agents
Athena Query Analyzer deployed across multiple enterprise customers. Reduces query costs by 70% and improves execution performance by 3x
AI-powered solution architect reducing architecture time by 80% with full IaC deployment and cost analysis
Low-code/no-code data platform for end-to-end data lifecycle management - Finalist in 2022 Gartner Eye on Innovation Award
Serving 3,000+ SAs with 20,000+ conversations, ensuring optimal capacity planning and 24/7 availability
Contributed to open source GenAI accelerator for RAG workload optimization in AWS Marketplace
Customer behavior and profitability analytics deployed at top pet food company, empowering CEO-level strategic insights
Masters in Computer Applications - Bharathidasan University, India (2003)
Bachelors in Physics (Gold Medalist) - University of Madras, India (2000)
AWS Certified: AI Practitioner • Solutions Architect • Developer • Data Analytics Specialty • Big Data Specialty • Cloud Practitioner
Informatica Certified Developer • Data Quality Specialist
AI/ML • Gen AI • Agentic AI • Data Platforms • Analytics • Governance
Bedrock • SageMaker • Amazon Q • AgentCore • Amazon Nova • Anthropic Claude • OpenAI • Cohere • Meta Llama • Mistral AI
S3 • Glue • EMR • Athena • Redshift • Lambda • DynamoDB • OpenSearch • Kinesis • QuickSight
Python • Spark • Hadoop • SQL