About
YAN PAING OO
Full Stack Developer
LinkedIn | GitHub | [email protected] | WhatsApp
Detail-oriented and results-driven Full-Stack Developer & DevOps Engineer with proven success in building scalable applications and driving automation across diverse industries. Experienced in leading backend architecture, mentoring teams, and delivering production-grade solutions from concept to deployment. Recognized for optimizing system performance, streamlining development workflows, and enhancing user experience in fast-paced environments.
Key Skills
- Development: Frontend and Backend Development, REST API
- Cloud & DevOps: Cloud Services (AWS, GCP), Containerized (Docker, Kubernetes), CI/CD (GitHub Actions, Ansible, Terraform, Bash, GitLab Runners), Version Control (Git), Web Servers (Nginx)
- Specialized: Chatbots Development
Technical Skills
- Cloud Platform and OS: AWS, GCP, Ubuntu, Debian, Fedora, Arch, CentOS, Digital Ocean
- Backend Stacks: JavaScript, Go, Node.js, TypeScript, PostgreSQL, MongoDB, Supabase
- Frontend Stacks: React, Next.js, Vite, Shadcn UI, TanStack
Experience
Full-Stack & DevOps Engineer
Pluggi | Feb 2025 – Present
- Led backend and infrastructure design from the ground up, architecting a scalable NestJS backend focused on performance, maintainability, and system resilience.
- Independently developed an in-house bot-system builder with a React Flow–based visual UI, enabling non-technical users to design and deploy chatbot workflows more efficiently.
- Co-developed a state management system using XState with custom extensions, and mentored junior developers to improve team delivery speed.
- Drove development of a professional-grade chatbot application for the U.S. market, ensuring high standards in scalability, usability, and user experience.
- Delivered optimized backend integrations that streamlined chatbot operations and improved real-time user interactions across multiple channels.
Associate Software Engineer
Brillar Pte. Ltd. | Feb 2024 – Jan 2025
- Developed a real-time mobile testing web application integrating Appium (Android & iOS) with Selenium and Tosca, enabling seamless cloud-based testing.
- Independently developed a macOS installer to deploy the testing platform, reducing setup time for end-users by 40%.
- Implemented CI/CD pipelines using GitHub Actions and Docker, cutting the deployment cycle by 30% and improving staging & development environments for the Gen-AI team.
- Designed and delivered LangChain-powered chatbot solutions integrating ChatGPT, Gemini, and Mistral AI, reducing response latency by 20% and enabling seamless real-time streaming conversations.
Freelance Full-Stack Developer & Infrastructure Consultant
May 2023 – Feb 2024
- Warehouse & Inventory Systems: Engineered a full-stack Warehouse Management System (WMS) and Car Ledger Software, implementing complex inventory tracking and financial logging.
- Business Automation: Developed a custom Leave Management System and internal business operations software using React (Vite), Shadcn UI, and NestJS.
- Backend Performance: Leveraged Golang for high-performance microservices in data-heavy ledger systems.
- End-to-End Infrastructure: Managed full deployment on cloud servers, configuring Nginx, SSL, and automated backups for small business clients.
Automation & Performance Engineer
Brillar Pte. Ltd. | Aug 2022 – May 2023
- Developed and executed 150+ automated end-to-end test scripts using Tricentis Tosca, increasing test coverage by 35% and reducing manual testing time by 40% for a leading Singapore-based payments services group.
- Collaborated with developers and UI/UX teams to align testing with business requirements, reducing post-release defects by 25%.
- Designed and implemented performance/load test plans for RESTful APIs using JMeter, identifying bottlenecks and improving API throughput by 30%.
- Led API testing, load testing, and stress testing for a Hong Kong-based banking system, ensuring 99.9% reliability under production-scale traffic.
Academic Background
University of Information Technology Bachelor of Computer Science in Knowledge Engineering (AI, ML, and Computer Vision)