Austin Li Resume

Education

Harvard College

2019 — 2023

Graduated with high honors in field.

Teaching:

  • TF for Physics 153 (Electrodynamics), Spring 2023
  • TF for Physics 15a (Introductory Mechanics and Relativity), Fall 2022
  • TF for CS 20 (Discrete Mathematics for Computer Science), Spring 2022
  • CA for Math 22a (Vector Calculus and Linear Algebra I), Fall 2020, 2021
  • CA for Math 22b (Vector Calculus and Linear Algebra II), Spring 2021
  • TA for Young Scholars Program, Summer 2019

Graduate-level technical coursework:

  • Optimized Democracy (CS 238)
  • Theory of Computation (MIT 6.840)
  • Quantum Computation (MIT 8.370)

Undergraduate technical coursework:

  • Data Structures and Algorithms (CS 124)
  • Machine Learning (CS 181)
  • Economics and Computation (CS 136)
  • Quantum Mechanics I (Physics 143a)
  • Quantum Mechanics II (Physics 143b)
  • Electrodynamics (Physics 153)
  • Statistical Mechanics and Thermodynamics (Physics 181)
  • Advanced Laboratory (Physics 191)
  • Mechanics and Special Relativity (Physics 16)
  • Algebra I (Math 122)
  • Theoretical Linear Algebra and Real Analysis I (Math 25a)
  • Theoretical Linear Algebra and Real Analysis II (Math 25b)

Professional Experience

Founding Engineer at Koi Platforms

April 2025 – Current New York, NY

  • First hired engineer at a seed-stage startup.

Software Engineer at Capital One

August 2023 - April 2025 New York, NY

  • Led experience modernization and design modernization across entire iOS digital fraud and disputes team in Swift.
  • Built smart document upload orchestration layer and API for digital fraud and disputes using Java, and AWS.

Data Science Intern at Zest AI

June 2021 - August 2021 Los Angeles, CA

  • Designed, trained, and deployed a geography‐agnostic race prediction model used to measure disparate impact of fair lending tools for clients in PyTorch, available open‐source; method used by Census in October 2022.
  • Developed geocoding method using public Census shapefile data, achieving 90% data retention and 99% accuracy, and reducing query times from hours to minutes.

Director of Growth at Wave Learning Festival

August 2020 - January 2021 Chicago, IL

Undergraduate Research Fellow at Harvard Department of Physics

June 2020 - September 2020 Chicago, IL