Konwoo Kim Resume

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

  • Conducted 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)
  • ICPC East Central North America Contest: 11th (2019)
  • USA Computing Olympiad: Platinum Division (2019)

Mathematics:

  • William Lowell Putnam Competition: Top 200 (2019)
  • USA Math Olympiad: Top 200 (2018)
  • USA Junior Math Olympiad: Top 200 (2016)