PROFESSIONAL SUMMARY
Senior Software Engineer & Architect with 15+ years hands-on experience in Software Development designing, building & scaling complex software systems across Banking, Finance, Healthcare, Advertising, eCommerce, Retail & Travel for startups & Fortune 500 companies
Deep expertise in Java, J2EE, microservices, distributed systems, application design, system architecture, performance engineering, AI, & cloud infrastructure
Equally effective as a hands-on Individual Contributor & as Technical Leader, driving architecture, execution, & delivery across multiple engineering teams
Self-starter executing projects from inception to delivery with complete ownership
Expertise across SDLC - analysis, design, development, documentation, testing, quality, integration, SCM, build, deployment (CI/CD), release management, production support, maintenance & enhancements
Strong communicator with excellent written, verbal & presentation skills; able to quickly understand new businesses & technologies
KEY ENGINEERING ACHIEVEMENTS
Successfully replaced legacy mainframe systems with modern, cloud-native Java applications. Currently migrating Princess Cruises' mainframe to microservices architecture, having previously replaced a legacy Walgreens system driving massive operational cost savings
Architected an event-driven AWS Kinesis pipeline to sync large data volumes between legacy DB2 & Aurora PostgreSQL & Redis & later increased throughput capacity by 500%, eliminating severe latency bottlenecks
Zero-downtime migrations across three Java LTS releases (8 to 21), significantly reducing technical debt. Architected an AI-first engineering workflow, integrating autonomous agents into CI/CD pipelines to automate code reviews & repository audits, drastically cutting SDLC lead times
Engineered an ultra-low-latency caching architecture - Redis & cache2k - to slash database read loads. Ensured sub-second response times and high availability for critical, heavy load REST APIs
Profiled distributed microservices to resolve memory leaks and optimize AWS ECS/EC2 instance sizing for peak price-to-performance efficiency
Thailand