Education
Carnegie Mellon University
2019 — 2023
Teaching:
- TA for 15-251 (Great Ideas in Theoretical Computer Science), Fall 2020
Graduate-level technical coursework:
- Convex Optimization (10-725)
- Deep Learning for Robotics (16-884)
- Learning-Based Image Synthesis (16-726)
Undergraduate technical coursework:
- Operating Systems (15-410)
- Compiler Design (15-411)
- Parallel Computer Architecture and Programming (15-418)
- Deep Learning (11-485)
- Deep Reinforcement Learning and Control (10-403)
- Machine Learning with Large Datasets (10-405)
- Physics-Based Rendering (15-468)
- Computer Graphics (15-462)
- Real Analysis (21-355)
Professional Experience
Quantitative Research Intern at Jump Trading
June 2022 – August 2022 • Chicago, IL
- Worked on alpha research for cryptocurrency pairs and crude oil futures.
- Developed and optimized modeling pipeline for US equities.
Software Engineering Intern at Meta AI
May 2021 – August 2021 • Remote
- Added internal support for video instance segmentation within Detectron2.
- Integrated YTVIS dataset, PyTorch implementations of top-down and bottom-up approaches, and clustering-based inference pipeline.
- Reproduced papers' results and performed additional analysis on optimizing training.
Software Engineering Intern at Meta
May 2020 – August 2020 • Remote
- Developed debugging tool to visualize candidates and scores across Messenger ranking architectures using Hack and SQL.
- Added logging for ranking information, implemented pipeline for novel ranking features, and designed debugging tool UI.
Awards and Honors
Computer Science:
- SCS Allen Newell Award for Excellence in Undergraduate Research (2023)
- USA Computing Olympiad: Platinum Division (2019)
Mathematics:
- William Lowell Putnam Competition: Top 200 (2019)
- USA Math Olympiad Qualifier (2018)