- Spearheaded the technical strategy to fuel product expansion across SEA, utilizing AWS services like EC2, RDS, Lambda, and API Gateway, serving over 15,000,000 patients by Q4 2023, serving 40x the patients than at the end of 2020. Took authoritative ownership of all product technicalities, ensuring robust scalability.- Championed the adoption of container orchestration tools like AWS ECS (Elastic Container Service), paving the way for blue-green deployment, reducing deployment downtime from ~5 minutes to zero.- Organized the transition from a monolithic framework to a service-oriented architecture based system, enabling different teams to operate with independent CI/CD pipelines, increasing deployment frequency, and enhancing API response times using optimized load balancing and caching strategies. - Pioneered major refactoring projects, leveraging the strangler fig approach, and introduced a robust admin platform using Next.js and Ruby on rails for managing transitioned modules, paving the way for product expansion.- Played a key role in obtaining the company’s ISO-27001 certification, overseeing the technical team through rigorous penetration tests, vulnerability assessments, and infrastructure audits.- Authored technical whitepapers, architecture diagrams, and documentation to ensure knowledge transfer and system understanding.

- Engineered backend infrastructure and client side applications for a Nurse platform using Flask and React.js, serving over 15,000 patients across SEA.- Designed secure API interfaces for external integrations and leveraged AWS SQS for asynchronous processing, enhancing data reliability, robustly processing over 400,000 messages every month.- Optimized and automated operational workflows by using Python in AWS Lambda together with Ruby on Rails backend APIs, reducing manpower involvement by almost 70%.

• Helped shed light on programming and Data Science concepts for students in Dataquest's community.• Contributed to shaping the learning experiences of thousands of students on Dataquest's platform by assisting in the preparation of educational Data Science content, spanning across the languages Python, R, and SQL. • Performed Quality Analysis work that encompassed testing code robustness, suggesting improvements on lesson structures, and further finessing content by spotting other non-code related errors.