CV
Yan Paing Oo
AI Engineer & DevOps
yanpaingoo.dev · LinkedIn · GitHub · [email protected] · WhatsApp
Visa sponsorship required
AI Engineer with a Computer Science degree in Knowledge Engineering (AI, ML, Computer Vision) and 2+ years of production experience shipping LLM-powered systems. Delivered multi-agent chatbot architectures, RAG pipelines, and tool-calling agent systems across two companies. Strong DevOps background — AWS infrastructure, CI/CD, containerization, and cloud architecture (GCP certified).
Skills
| Area | Technologies |
|---|---|
| AI / LLM | Multi-agent systems, tool-calling agents, RAG, context engineering, prompt design, LLM benchmarking, embeddings, vector search, LangChain, streaming conversations |
| Models | Gemini, ChatGPT, Mistral, Ollama, CloudWeGo Eino, Google GenAI SDK |
| Cloud / DevOps | AWS (ECS, EC2, S3, RDS, CloudFront, Route53), GCP, Docker, Kubernetes, Terraform, Ansible, GitHub Actions, GitLab CI, Nginx |
| Backend | Go, Node.js, TypeScript, NestJS, PostgreSQL, MongoDB, REST API, WebSockets |
| Frontend | React, Next.js, Vite, Shadcn UI, TanStack |
Experience
AI Engineer & DevOps — Aug 2025 – Present
Pluggi
- Architecting AWS cloud infrastructure (ECS, RDS, S3, CloudFront) for a production chatbot platform serving 10K+ U.S. users.
- Engineered a multi-agent LLM system with 4 domain-specialized sub-agents and tool-calling, achieving 100% tool accuracy and 20% token reduction on a 55-case benchmark suite.
- Formulated tool response formats (SUMMARY + DATA + GUIDANCE) that improved LLM reasoning — agent quality score from 4.7 to 5.0/5.
- Led backend architecture from the ground up — scalable NestJS backend handling 500+ daily active conversations.
Software Engineer & DevOps (Part-time → Full-time) — Feb 2025 – Jul 2025
Pluggi
- Established Pluggi’s technical foundation from zero as the first engineer — backend, infrastructure, CI/CD, and deployment workflows.
- Created an in-house bot-system builder with React Flow visual UI, enabling non-technical users to deploy chatbot workflows 3x faster.
- Co-authored a state management system using XState with custom extensions. Mentored 2 junior developers.
Associate Software Engineer — Feb 2024 – Jan 2025
Brillar Pte. Ltd.
- Delivered LangChain-powered chatbot solutions integrating ChatGPT, Gemini, and Mistral AI — reducing response latency by 20% with real-time streaming across 3 channels.
- Implemented CI/CD pipelines using GitHub Actions and Docker, cutting deployment cycle by 30% for the Gen-AI team.
- Built a real-time mobile testing platform integrating Appium (Android & iOS) with Selenium and Tosca for 50+ test devices.
Freelance Full-Stack Developer & Infrastructure Consultant — May 2023 – Feb 2024
- Engineered a full-stack Warehouse Management System and Car Ledger Software with inventory tracking and financial logging for 4 clients.
- Leveraged Go for high-performance microservices in data-heavy ledger systems, processing 100K+ daily transactions.
- Managed end-to-end cloud deployment — Nginx, SSL, automated backups for small business clients.
Automation & Performance Engineer — Aug 2022 – May 2023
Brillar Pte. Ltd.
- Executed 150+ automated E2E test scripts using Tricentis Tosca, increasing test coverage by 35% and reducing manual testing by 40%.
- Crafted performance/load test plans using JMeter, improving API throughput by 30% for a Singapore payments group.
- Led API, load, and stress testing for a Hong Kong banking system — 99.9% reliability under production traffic.
Education
University of Information Technology
Bachelor of Computer Science in Knowledge Engineering (AI, ML & Computer Vision)