Education

Harvard University

- S.M. in Computer Science (Aug 2024 - May 2025)

- A.B. in Computer Science and Statistics (Aug 2021 - May 2025)

Relevant Coursework

  • - Computational Properties in Interpretable Machine Learning (CS 282r)
  • - Introduction to Distributed Computing (CS 262)
  • - Formal Methods for Computer Security (CS 254)
  • - Advanced Topics in Programming Languages (CS 252r)
  • - Advanced Computer Networks (CS 243)
  • - The Theory of Algorithmic Fairness (CS 226r)
  • - Artificial Intelligence (CS 182)
  • - Data Structures and Algorithms (CS 124)
  • - Introduction to Algorithms and their Limitations (CS 120)
  • - Systems Programming and Machine Organization (CS 61)
  • - Abstraction and Design in Computation (CS 51)
  • - Introduction to Computer Science (CS 50)
  • - Discrete Mathematics for Computer Science (CS 20)
  • - Introduction to Machine Learning (MIT 6.036)
  • - Introduction to Statistical Inference (Stat 111)
  • - Introduction to Probability (Stat 110)
  • - Linear Algebra and Differential Equations (Math 21b)
  • - Multivariable Calculus (Math 21a)

Experience

Pomelo

Software Engineer Intern

May 2024 - Aug 2024

  • - Spearheaded new rewards program using Java Spring Boot, React Native, Rust, and GraphQL to allow users to accrue and redeem reward points, ultimately increasing credit card usage and improving growth/retention.
  • - Owned engineering design and integration for bonus rewards, incentivizing credit card uptake through sign-up bonuses and limited-time promotions.
  • - Engineered backend framework supporting customizable Spring Boot caches and backing with Redis, reducing P95 latency for profile picture fetching from 550ms to 60ms and enabling easy caching for other use cases as needed.
  • - Built infrastructure in Terraform consolidating 10+ Amazon SQS queues, each targeted by separate EventBridge schedules, into a single shared queue to facilitate a smooth integration of future CRON jobs.

https://www.pomelo.com/

Odoo

Software Engineer Intern

May 2023 - Aug 2023

  • - Engineered sales commission app from scratch using Python, JavaScript, PostgreSQL, and XML to streamline the sales process and support flexible commissions.
  • - Overhauled the sales order, point of sale, and invoice apps to allow for seamless integration with commissions.
  • - Spearheaded development of 3D printing app supporting STL file uploads, model slicing, and customizable slicing and printer profiles.
  • - Designed and implemented OctoPrint integration, enabling easy access to real-time progress tracking, detailed printer statistics, and filament management.

https://www.odoo.com/

Harvard Votes Challenge

Director of Data and Technology

Dec 2021 - Dec 2022

  • - Managed a team of 10 SWEs, PMs, UI/UX designers, and data scientists to develop MVP for the only campus-first relational organizing tool.
  • - Flagship campus organizing product accepted into Harvard Innovation Labs Venture Program.
  • - Full-stack developer of web platform using PostgreSQL, Express, React, and Node.js.
  • - Generated automated pipeline to sync 1200+ responses across 3 different forms into 1 consolidated turf sheet.
  • - Split student turf sheets by concentration, house/yard, and home state affiliations using Python.

https://voteschallenge.harvard.edu/

Bubbl

Software Engineer Intern

May 2022 - Aug 2022

  • - Developed iOS app using Swift and Firebase allowing users to create and discover plans with friends.
  • - Overhauled web app using Next.js and Firebase to allow existing users to view and share events.
  • - Engineered waitlist feature on web, attracting 100+ new waitlist users.

https://bubbl.so/

Bluebonnet Data

Data Science Fellow

May 2022 - Aug 2022

  • - Performed data analysis to help Arizona candidate win the 2022 general election.
  • - Predicted win number within 5.1% of true result by analyzing political climates and scraping voter turnout data using Python for 39 precincts across 4 different years.
  • - Provided insights and analyses on which voters to target and where, allowing for better budgeting of time.

https://www.bluebonnetdata.org/

KTBYTE Computer Science Academy

Teaching Assistant

Jul 2018 - Aug 2021

  • - Helped 30+ students prepare for USACO Gold by tutoring Java and hosting advanced office hours.
  • - Taught a week-long Processing course to a class of 20+ students, covering the fundamentals of programming and engineering design principles.

https://www.ktbyte.com/

Immigrant Family Services Institute

Software Engineer Intern

Jun 2021 - Aug 2021

  • - Developed MVP using Ionic and React to help immigrants search for a job and break down language barriers.

https://www.ifsi-usa.org/