Education 🎓

Cornell University - College of Engineering

Jun 2023 (B.S. Computer Science); Dec 2023 (M.Eng. Computer Science)

GPA: 3.7

Dean's List Scholar

Relevant Courses: Data Structures, Object-Oriented Programming, Functional Programming, Information Retrieval, NLP, Algorithms, Computer System Organization, Operating Systems, Computer Vision, Machine Learning

Work Experience 💼

Uber

Software Engineering Intern · May 2022 - Aug 2022

· Developed a webhook proxy in Golang that emits metrics (time taken, success/failure, etc.) for every build created in the organization’s CI tool (Buildkite), and built a dashboard displaying those metrics for easy data analysis

All Vision Technologies

Software Engineering Intern · Jun 2021 - Aug 2021

· Designing 20+ REST API routes and relational database schemas to accelerate data labeling and analyzing by over 100 times

· Developed in FastAPI to create APIs for data manipulation and unsupervised learning on user-uploaded datasets that resulted in 30% growth in user volume on the platform

· Writing an automated microservice to suggest which dataset operations would optimize users' data clustering

Activities 💻

Cornell AppDev

Feb. 2021 - Present

· Developer for Cornell AppDev, an open-source project team powering apps that serve for thousands of users with members in Design, iOS, Android, Backend, and Marketing subteams

· Backend Developer (1.5 yrs): Developed Eatery, a dining hall menu app in Flask/GraphQL; and now developing Resell, a marketplace app in TypeScript/Express/routing-controllers

· Course Instructor (5 mos): Instructing CS 1998–the course on server-client architecture, database design, application deployment, containerization, and authentication

Cornell College of Computing & Information Science

Course TA for CS 1112 - Introduction to Computing in MATLAB · Jan 2021 - Dec 2021

Projects 🔨

Resell

Jan 2022 - Present

· Wrote a REST API in TypeScript/routing-controller that followed the Controller-Service-Repository pattern

· Faciliated deployment and conversation with frontend/design/PM as the lead backend engineer

Manga Recs

Mar 2021 - Jun 2021

· Led a 5-man team to develop a web app that recommends manga titles based on similar mangas and query keywords inputted by the user

· Wrote a Flask, PostgreSQL backend and Sklearn/Word2Vec machine learning (IR/NLP) algorithms for the recommending system (TF-IDF weighting, Jaccard similarity, and word embeddings)

Skills ✨

Languages

Python, Java, OCaml, HTML/CSS/JavaScript, TypeScript, SQL, C++

Frameworks & Tools

Django, Flask, Node.js, GraphQL, Git, Docker, VS Code, Eclipse, Postman, PostgreSQL

Interests

Baseball, Piano