Education

University of California - San Diego

B.S. Mathematics-Computer Science

B.S. Cognitive Science Spec. Machine Learning and Neural Computation

La Jolla, CA Sep. 2025 - Jun. 2028

Activities:

Association of Computing Machinery, Society of Undergraduate Mathematics Students, Data Science Society, Badminton Club

City College of San Francisco

A.S. Mathematics, Highest Honors

San Francisco, CA Aug. 2024 - Jun. 2025

Activities:

Student Tutor, Growth Sector Summer Bridge

Technical Skills

Programming Languages

Python Java SQL Git HTML CSS JavaScript TypeScript Go MATLAB

Libraries/Frameworks

NumPy Pandas PyTorch Matplotlib React Scikit-learn FastAPI Node.js REST APIs AWS Supabase

Coursework

Data Structures & Algorithms Systems Programming Discrete Math Machine Learning Convex Optimization Linear Programming Probability & Statistics Stochastic Processes Graph Theory Object Oriented Programming

Experience

Undergraduate Research Assistant

Mar. 2026 - Current

Visual Learning Lab @ UCSD

  • Working with embedding models to predict developmental visual learning trajectories using BabyView and experimental datasets
  • Built and Maintained reproducible data pipelines for behavioral experiment data; documented workflows and versioned code to support collaboration..

AI Projects Mentor

Mar. 2026 - Present

ACM @ UCSD --- AI Projects, La Jolla, CA

  • Mentored and directed teams through the end-to-end ML lifecycle, provided technical guidance on model architecture selection, loss function optimization, and deployment.
  • Lead weekly standups to unblock project progress and coordinate pacing, collaboration, and quality across the team.

Software Developer

Jan. 2026 - Apr. 2026

Data Science Society (DS3) @ UCSD, La Jolla, CA

  • Built a full-stack course planning and visualization web app used by UCSD students; placed 1st out of 12 teams in a quarterly competition judged by HDSI faculty and industry engineers.
  • Engineered Python and Go data pipelines to process 2,500+ course records and recursively parse prerequisite graphs into AST-based tree structures.

Undergraduate Research Assistant

Jan. 2026 - Mar. 2026

UC San Diego (URL Lab), La Jolla, CA

  • Conducted econometric regression analysis in STATA to evaluate regional economic impacts of educational policy spillovers using IPUMS and World Bank data
  • Standardized 10,000+ points census records across datasets for analysis in STATA, presented findings to research team.

Research Intern

Aug. 2025 - Sep. 2025

UC San Diego, La Jolla, CA

  • Participated in the Transfer Research Experience Program in the Mathematics Department, implementing and training CNNs and image classification and clustering models
  • Developed and optimized classification and clustering workflows using NumPy, Pandas, and PyTorch, reducing model errors by 40% through rapid iteration and parameter tuning

Engineering Pre-Apprenticeship

Jun. 2025 - Aug. 2025

Growth Sector, San Francisco, CA

  • Applied foundational civil engineering concepts by modeling infrastructure systems in Revit 2016, Bridge Designer Software and CAD
  • Programmed an Arduino microcontroller to wirelessly control a vehicle across a student-built bridge, integrating coding, electronics, and mechanical design

Academic Tutor

Jan. 2025 - Jun. 2025

City College of San Francisco, San Francisco, CA

  • Tutored 20+ students weekly in calculus and physics, improving average student grades by one letter grade through targeted problem-solving support
  • Provided 10+ hours of weekly office hours in collaboration with faculty, improving student pass rates in calculus and physics

NASA Community College Aerospace Scholar

Jan. 2025 - Apr. 2025

NASA Goddard Space Flight Center (Remote)

  • Engineered a simulated Mars rover mission plan, balancing latency, power limits, data transmission, and reliability for success
  • Analyzed telemetry and communication strategies for remote robotic systems to optimize mission efficiency

Operations Manager

Aug. 2024 - Jun. 2025

LionDanceMe, San Francisco, CA

  • Collected, processed, and visualized availability data for 100+ student members to coordinate practice scheduling
  • Built a digital attendance tracking system that logged 750+ events, replacing manual record-keeping and reducing manual workload
  • Led teams on-site at performances, serving as primary contact with event managers and clients; also performed as a dancer

Volunteer Photographer/Videographer

Aug. 2024 - Jun. 2025

Bert Hsu Academy, San Francisco, CA

  • Scripted, recorded, and edited video content for social media channels, and photographed students for annual yearbook production

Projects

ClassGraph

Python, Go, React, D3.js

Engineered scraping pipelines to collect and transform 2,500+ courses into a structured SQL database with AST-backed representations. Designed a TypeScript AST-based prerequisite resolver parsing nested AND/OR logic and rendering dependency DAGs in D3.js.

TroupeRoute

Google Maps API, Python, H3, Pandas, React

Built a Python optimization system modeling multi-stop routing as a constrained Traveling Salesman Problem using road networks and travel-time matrices from OpenStreetMap data. Integrated OR-Tools to enforce time-window and overlap constraints across 40+ daily events, improving schedule feasibility and reducing total travel time.

WebReg to ICS

Python, OCR, iCalendar

Built a tool that converts UCSD WebReg schedule PDFs into clean, importable calendar files. The system extracts course data using OCR, generates recurring weekly lectures, skips UCSD holidays automatically, and adds midterms and finals as one-off events. Produces standards-compliant .ics files compatible with Google Calendar, Apple Calendar, and Outlook.

SwapU - Autonomous Item to Item Marketplace

Fetch.ai, BrowserUse, FastAPI, React, Supabase, AWS

Built autonomous Fetch.ai agents to negotiate multi-item trades from user utility functions; integrated BrowserUse for real-time market pricing and confidence scoring. Engineered a FastAPI backend with RESTful and WebSocket controllers; Backed by Supabase PostgreSQL and AWS S3; built a React + TypeScript frontend with live trade updates and real-time chat.

Spotify Recommender System

Python, PyTorch, Pandas, NumPy

Built a two-tower recommender model to predict songs through collaborative and content-based filtering; Utilizing learned embeddings to map user preferences and 900,000+ tracks into a shared latent space. Fine tuned embedding and epoch size, achieving 5.2 precision@10, 0.84 ROC–AUC, and reduced validation loss by 30%.