Technical lead serving Petronas Digital.

- Built an AI platform from zero to production ready for a UK company utilizing WebSocket using Ruby on Rails app on AWS with a NextJS app hosted on vercel.
- Integrate with platforms such as Claude, deepgram, stripe and Microsoft graph api.
- Designed and built api endpoints from zero with ruby on rails with .
- Modernize and maintained Nextjs/ReactJs codebase with latest industry standards.
- Built a CICD pipeline with GitHub action and cap rover to manage docker cluster.
- Built integration with e-invoice

Full Stack Software Engineer with Backend Focused.

Optimizing backend scalability and maintainability (dev experience) to ensure faster iteration. Revamp legacy codebase towards TDD and enforcing CLEAN architecture to transform codebase into maintainable, scalable and secure codebase. Follow modern Rails architecture and separating UI from the backend to allow team to move faster.

- implement CI pipeline to enforce TDD and preserve code quality (CircleCI + Codecov)
- implement delivery pipeline via github action to AWS
- reduced/optimized database query in the backend application to reduce database load
- optimized report generation speed from days to ~5 Minutes for 500k+ monthly sub records
- optimize db load by reducing read/write operation utilizing advanced ActiveRecords and handling heavy computation on application server.
- identify bottleneck and advice for improvement plan for scaling up
- ensuring CLEAN code and TDD are practiced via code review
- implement basic rails gem for security and best practices
- update and maintain docker image for production
- ensuring the platform is scalable from codebase to infra (IaC)
- implement proper log management for monitoring with datadog integration
- implement ansible playbook to automate deployment across multiple physical outlets