I'm an AI Product Manager at Equinix, where I lead Fabric Assistant, MCP servers, and Fabric Agent Factory. Before that, I spent 7 years working my way from audit analyst through PM to software engineer.
I studied Data Science at UC Berkeley and systems & security at 42 Silicon Valley. I've built 30+ projects across AI, voice tech, and trading systems — I ship fast and learn by building.
Based in Oakland. Outside of work, I train Muay Thai and boxing, play tennis, and spend as much time as I can hiking and exploring outdoors.
AI Product ManagerAug 2025 – Present
Equinix- Leading Fabric Assistant (Equinix's AI chatbot), MCP servers, and Fabric Agent Factory — the company's core AI product initiatives.
- Built an on‑prem Slack chatbot on Equinix DGX using Qdrant and Mistral 7B for secure, AI‑powered retrieval of company knowledge.
- Developing containerized services in Kubernetes for VMaaS and related microservices.
Founding Forward Deployed AI EngineerJul 2025
Retell AI- Deployed conversational AI agents for enterprise customers, architecting custom backend integrations and embedding directly with client teams.
AI Product ManagerJun 2024 – Jun 2025
Equinix- Led AI product strategy for Equinix's digital services platform.
- Built a Network Topology Visualization Tool to map customer deployments and design migration plans.
Product ManagerApr 2021 – Jun 2024
Equinix- Increased conversion rates by 18% through cross-functional management of marketing, engineering, and sales teams.
- Owned pricing strategy and built a system for automating pricing changes based on currency fluctuations.
- Managed global capacity expansions across 30 metro areas, reducing shortages by 90%.
Data Quality AnalystMar 2020 – Apr 2021
Equinix- Built data validations and dashboards to track quality and identify systemic issues cross-functionally.
Internal Audit AnalystMay 2018 – Mar 2020
Equinix- Automated reporting using SQL, Python, Power BI, and Tableau. Built dashboards for executive consumption.
University of California, BerkeleyB.A. Data Science '23 — machine learning, statistics & deep learning.
42 Silicon ValleyFull-stack Software Engineering intensive, focus on systems & security.
Merritt College4.0 GPA. Started here after dropping out of high school at 16 — the beginning of the comeback.
LanguagesPython, JavaScript/TypeScript, Go, SQL, Java
AI/MLLLMs, RAG, MCP (Model Context Protocol), prompt engineering, TensorFlow, PyTorch, scikit-learn, Neo4j
Web & PlatformsNext.js, Django, FastAPI, Convex, Tailwind CSS, Clerk, Stripe, Vapi, ElevenLabs, Remotion
DevOps & CloudAWS, GCP, Docker, Kubernetes, GitHub Actions, Buildkite, Vercel
Data & VisualizationMatplotlib, Seaborn, Plotly, NetworkX, Power BI, Tableau
ToolsGit, Cursor, GitHub Copilot, Claude Code
