Professional Overview
• Enterprise Technical Architect with 15+ years of experience designing scalable, secure, and cost-optimized cloud-native platforms, distributed microservices, and production AI systems across AWS and Azure. • AI and Agentic Architect: enterprise B2B Generative and Agentic AI, including knowledge systems and predictive maintenance, routing requests to hybrid RAG, investigation agents, or workflow automation, with human approval before sensitive actions (LangGraph, Strands, MCP) and GraphRAG. • End-to-end cloud engineering in Python and AWS (EKS, Bedrock, OpenSearch, Lambda, API Gateway, Glue) and Azure (AKS, Azure OpenAI, Functions, APIM), covering network design, containers, Terraform, legacy-to-cloud modernization, and zero-downtime CI/CD. • Solution leadership and pre-sales: technical strategy, architecture assessments, POC development, mentoring, and stakeholder alignment so the design matches the business outcome. • Multi-domain delivery from requirements to production across financial regulatory compliance, insurance, healthcare (HEDIS), and travel and aviation, on client platforms running at millions of transactions a day.
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
