About
AI Engineer building production systems at the intersection of machine learning, product engineering, and distributed systems.
Current
AI Engineer at Facilis, where I build production agentic tools for industrial enterprise customers. My work focuses on AI agent orchestration, Model Context Protocol (MCP) implementation, and full-stack development with React, TypeScript, and Node.js.
Senior at UC San Diego pursuing a B.S. in Electrical Engineering with specialization in Machine Learning and Controls (2024-2026).
Experience
AI Engineer
- Building agentic AI tools for industrial enterprise using Model Context Protocol
- Architecting AI agent orchestration systems with React, TypeScript, and Node.js
- Designing and implementing production-grade LLM integrations
Product Development Intern
- Developed full-stack visual components and interactive dashboards
- Contributed to AI Copilot features for enterprise analytics platform
- Built responsive UI components with React and TypeScript
Founder & Lead Engineer
- Architected and built cross-platform social application with Flutter and Dart
- Integrated GPT-4 for natural language processing and YOLOv8 for computer vision
- Managed full product lifecycle from ideation to deployment over 2.5+ years
Education
University of California, San Diego
Evergreen Valley College
Technical Skills
AI & Machine Learning
Engineering & Product
Infrastructure & Tools
Languages
Approach
I focus on building AI products where the intelligence feels invisible to users. The goal isn't to showcase complexity—it's to solve real problems with systems that work reliably and scale effectively.
My background spans machine learning, full-stack engineering, and product development. This allows me to move quickly from concept to production, understanding both the technical depth required and the product decisions that matter.