I'm an independent Staff Applied AI Engineer and product builder. I help teams turn an early idea into an AI product people can use: shaping the experience, building the system, and bringing it to launch.

From leading teams in large organizations to leading agents and delivering impact. My work spans product strategy, hands-on engineering, and the demos and storytelling that help people understand a new product.

CopilotKit is a current client. I'm available for new AI engineering projects, fractional product leadership, and advisory work.

🇺🇸 US · 🇵🇭 PH · Working across borders

Work with me · Portfolio · LinkedIn · Email

Open-source projects I've helped build with CopilotKit, recognized on Trendshift.

OpenMuse	OpenDots
OpenTag	OpenBot

_{Live Trendshift badges in the TypeScript category. Each badge links to its source; recognition belongs to the shared project.}

I built the initial version solo in roughly a day, drafted the mascot and marketing, and worked on video direction. I continued developing the browser interactions, persistent sessions, and sourced comparison cards that make the agent's work visible and useful across mobile and web.

Case study · Example contribution: browser interactions

I built the initial version in a day, then developed the workspace around specialist conversations, persistent documents, and visible computer work. My contributions include inline browser previews, file and terminal results, per-agent learning contexts, realtime call controls, and launch support.

Case study · Example contribution: initial workspace

My work spans Channels SDK integration, a research backend, readable approvals for external writes, and developer onboarding for Slack and Teams.

Case study · Example contribution: readable approvals

I extended the existing platform with action-specific approvals, queued corrections, repetition detection, and recovery from stalled runs. I also worked on creating skills and coworkers through conversation, alongside an internal deployment.

Case study · Example contribution: human approvals

I worked on rich, agent-generated interfaces: interactive visualizations, charts, and 3D experiences. The project explores how agents can respond with useful interfaces alongside text.

Case study

• An AI product from idea to launch. Product direction, a working prototype, implementation, and a clear demo.
• Agents inside your product. Tool use, persistent context, human approvals, and interfaces that show what the agent is doing.
• Developer tools people can adopt. Reference applications, integrations, onboarding, and examples.
• Product and technical leadership. Turning an ambiguous opportunity into a focused roadmap and coordinating the work to deliver it.

• Folderbase — shared files and durable context for humans and agents working together.
• Chalk Agents — tools for testing, reviewing, and coordinating AI agent work.

I've spoken on stage at Google events more than 10 times, including VibeCore at Google Mountain View, as well as developer conferences, university events, and team workshops. I share practical lessons from building AI products, leading teams, and working with agents.

I also founded the AI Cebu Community to help Filipinos develop practical AI skills.

Talks and event archive

Previously, I led product at Full Scale Ventures, helping ship two AI startups from zero to one, with work spanning MultiplAI and InterviewRoom.ai.

• LinkedIn Top Voice for Product Management, 2023.
• Named among the Top 100 Brightest Minds Under 30 in the Philippines by Stellar PH.
• Post Graduate Diploma in Artificial Intelligence and Machine Learning, Asian Institute of Management.

TypeScript, Python, React, Next.js, and Electron · CopilotKit, AG-UI, A2UI, LangGraph, and MCP · OpenAI, Anthropic, and Gemini · Docker, AWS, Google Cloud, and Firebase

I choose the stack around the product and the team.

Have an AI product to build or improve? Tell me about it →