I build production enterprise AI systems: agent workflows, RAG, evals, secure cloud runtimes, and tools people actually use.
My focus is the last mile of enterprise AI: turning models into secure, grounded, evaluated, cost-aware systems that fit real workflows.
- Architecting secure agentic AI platforms with access controls, reusable templates, evaluation loops, and operational guardrails.
- Building AI developer workflow tools for code review, SDLC automation, document processing, multimodal translation, and content generation.
- Preparing for a field-facing AI and platform solution architecture role at BytePlus in July 2026.
- Writing about context engineering, AI agents, RAG, evals, and practical LLM systems at Ylang Labs.
| Area | What I work on |
|---|---|
| Agentic AI platforms | Secure runtime patterns, agent templates, governance controls, and production-readiness workflows. |
| AI code review | Autonomous agents that review GitHub pull requests, enforce engineering standards, and keep humans in the review loop. |
| Multi-agent orchestration | Canvas-based workflows for coordinating assistants and agents across repeatable business processes. |
| Document AI and RAG | Grounded retrieval, structured extraction, quality checks, and workflow integration for high-volume document use cases. |
| Developer workflow automation | IDE-integrated assistants for planning, requirements, tests, implementation support, and standards enforcement. |
| Multimodal productivity | Translation and content-generation tools for document, text, voice, image, and presentation workflows. |
| Computer vision research | Published an award-winning thesis on tongue-print biometric recognition using ORB and Raspberry Pi hardware. |
- I write practical AI engineering notes at Ylang Labs, especially around context engineering, production agents, RAG, MCP, evals, and reliable LLM workflows.
- My published undergraduate research is Recognition of Tongue Print Biometric using Oriented FAST and Rotated BRIEF (ORB), presented at ICoDSA 2022 and recognized with two Best Research Paper awards, one from ICoDSA and one from Mapua University.
- 7x AWS Certified, including Generative AI Developer - Professional, Machine Learning - Specialty, Machine Learning Engineer - Associate, Data Engineer - Associate, Solutions Architect - Associate, AI Practitioner, and Cloud Practitioner.
- AWS Community Builder 2026 - AI Engineering.
- IBM Generative and Agentic AI Expert - Architect.
- IBM Tech Awardee 2026.
- 2x IBM global hackathon winner.
