Principal Cloud & AI Platform Architect

Forward-deployed with enterprise stakeholders to turn ambiguous cloud needs into end-to-end AWS architectures. Built reusable IaC with Terraform and CDK plus multi-account guardrails, cutting environment setup time by 70%. Reduced cloud spend about 20% through analytics-driven right-sizing.

Validated AI-generated AWS CDK and CloudFormation for security and cost on Amazon's IaC RLHF program. Built reusable TypeScript CDK constructs aligned with Well-Architected principles, cutting standardization time about 30%. Provided RLHF feedback that raised the quality of generated infrastructure code.

Short AWS platform contract in Tokyo. Supported NTT's cloud infrastructure initiatives in a customer-facing engineering capacity, contributing to AWS-based platform development for enterprise cloud capabilities.

1:1 mentoring for cloud professionals and engineers. Specialized in AWS Architecture, Cost Optimization, and guiding engineers transitioning to AI/ML and GenAI career paths.

Forward-deployed into client problems: discovery, architecture review, implementation, and post-launch guidance. Designed serverless architectures with selected 30-40% operational cost reductions. Integrated LLM-powered features using AWS Bedrock for fintech and e-commerce platforms.

Worked close to product and engineering users to architect a serverless SaaS platform using Python, Lambda, API Gateway, and DynamoDB, achieving 99.9% availability and 40% cost reduction. Integrated AI agents for automated code generation.

Built developer-first API security on AWS serverless. Developed Python backend services for automated threat detection and eBPF kernel-level agents for runtime protection. Shipped a React security dashboard with real-time threat visualization and improved deployment efficiency by 25% through CI/CD gates.