Building production AI systems that serve millions.
AI Engineer at DeepLearning.AI • Previously Tassel, Bexorg, NASA Ames • MS in Artificial Intelligence from San Jose State University
At DeepLearning.AI — Building AI-powered internal tools with multi-agent orchestration, vector search, and full-stack ML systems.
Open Source — Production MCP servers, blog-to-podcast pipelines, and developer tools used by the community.
| Project | What It Does | Stack | Status |
|---|---|---|---|
| dlai-mcp-server | MCP server making DLAI's 121 courses searchable from Claude Code, Codex, Cursor. 3 tools, Algolia-powered, Railway hosted. | TypeScript, MCP SDK, Algolia, Railway |  |
| tech-blog-catchup | Engineering blogs from Uber, Meta, Netflix, Airbnb → AI-generated podcasts. PWA with offline support, MediaSession API. | Next.js, FastAPI, GPT-5.2, TTS, Railway | blog2podcast.com |
| pair-programmer-cli | Multiplayer middleware for AI coding agents — share Claude Code sessions with your team in real-time. | TypeScript, WebSocket, tmux | Published |
- DLAI MCP Server — Built and shipped an MCP server that makes DeepLearning.AI's course catalog searchable from any AI coding tool. npm published, Railway hosted, 121 courses across 38 topics.
- Tech Blog Catchup — 28 PRs for full frontend rebuild in one day. PWA mobile overhaul with 34 E2E tests. User submission feature. Railway deployment at blog2podcast.com.
AI/ML:
Full-Stack:
Data:
Infrastructure:
- MS in Artificial Intelligence — San Jose State University
- Founding AI Engineer — DeepLearning.AI (2M+ students served)
- Research Intern — NASA Ames Research Center
- 6+ years shipping production systems at scale
