Career Journey
AI/ML Systems ยท Full-Stack Engineering ยท Class of 2027
Computer Engineering + TIM student at UC Santa Cruz (graduating June 2027), specializing in full-stack development and AI/ML systems. Currently doing LLM systems research at the AIEA Lab and driving user growth at a stealth AI startup backed by top-tier investors. I build things that reach people at scale.
Education
University of California, Santa Cruz
Class of 2027
Degrees
Computer Engineering
Technology Information Management
Relevant Coursework
Campus Involvement
180 Degrees Consulting
Senior Consultant
AIEA Lab
Research & Development
Tech Community
Active Member
Career Timeline
Senior Marketing Intern
Stealth Startup
April 2026 - Present
Driving user growth at an early-stage AI startup backed by top-tier venture capital through data-driven acquisition strategies.
LLM Systems Researcher
AIEA Lab
September 2025 - Present
Designed and deployed legal-domain retrieval-augmented generation systems with measurable quality gains.
Project Manager
180 Degrees Consulting
January 2026 - Present
Led cross-functional consulting delivery for local businesses using data-backed strategy.
Junior โ Senior Consultant
180 Degrees Consulting
August 2024 - January 2026
Scoped and executed quantitative analysis workstreams for client-facing strategy engagements.
Lead Tutor
Code Ninjas
August 2023 - September 2025
Led instruction and student progress management across Python, JavaScript, and algorithmic thinking curricula.
Technical Skills
Languages
ML / LLM
Tools & Frameworks
GitHub Activity
Contribution Graph
Building in public, one commit at a time
Contributions over the past year
Featured Projects
LiftDiary โ ML Workout Tracker
Full-stack workout logging app with ML-driven progressive overload recommendations. Integrates YouTube Data API for in-app tutorials and uses a normalized SQL schema for historical lift trend analysis.
GearUp โ Top 5 @ ShopHacks
GPT-powered fitness shopping assistant deployed on Shopify's Shop App (100M+ user platform). Used NLP prompt engineering to match fitness products to user goals via dynamic filtering.
Movie Recommendation Tool
Easy to use web app that provides personalized movie recommendations based on user preferences.