CV

Education

• M.S. in Computer Science, Cornell University, 2024
• B.S. in Computer Science (Summa Cum Laude), Cornell University, 2022
• Minor in Material Science Engineering and Linguistics

Work Experience

Software Development Engineer Intern

Amazon AWS Directory Services
Summer 2024

• Designed and implemented a centralized GDPR compliance system of AWS Directory Services which was scalable to tens of thousands of events per minute
• Ensured that the new system was extensible and usable across multiple teams in Directory Services

Materials Process and Engineering Intern

Viasat Inc
Summer 2021

• Drafted material test plans for research and development of composite aerospace structures
• Wrote MATLAB scripts for flight testing of mechanical structures

Research

Proofs for Deductive Databases

Under the guidance of Nate Foster and Ryan Doenges
Designing a proof system for extensions of Datalog to provide methods for debugging queries and verifying the correctness of query results.

• Created an elegant proof system for the Egglog language (an extension of Datalog with equality saturation)
• Programmed a verified proof checker in for the proof system in Coq
• Wrote a master’s thesis on the proof system and its applications with case study on optimizing NetKAT programs using Egglog

Machine Learning with Humans in the Loop

PI: Chien-Ju Ho
Analyzing human behavior to develop artificial intelligence agents designed to cooperate with humans using reinforcement learning.

• Created human models incorporating human cognitive bias and level-k game theoretic frameworks
• Implemented a markov decision process environment and value iteration for evaluation of AI agents
• Evaluated performance of different AI agent models and their cooperation abilities with human models

SARA: Integrating Materials Theory, Experiment, and Computation

PI: R.B. van Dover, Michael Thompson
Integrating materials science and computer science methods to dramatically accelerate by orders of magnitude, the discovery and development of new materials.

• Used hyperspectral imaging and transfer matrix method to determine the optical depth of various amorphous and crystalline thin films to understand their composition
• Performed photolithography, sputtering deposition, and profilometry

Projects

Eta Compiler

• Designed and implemented a compiler for the Eta language (a language designed for CS 5120) in Kotlin which ranked among the top four compilers in the class
• Implemented Copy Propagation, Constant Folding, Dead Code Removal, Register Allocation, and Conditional Constant Propagation

OCaml Scrabble

• Implemented a terminal-based version of the classic game Scrabble
• Customizations included board size, number of players, bonus words, and randomization of bonus tiles.

Computational Linguistics Projects

• Implemented a hidden markov model and maximum entropy markov model for named entity recognition tasks
• Implemented a categorical naïve bayes text classifier
• Developed a syntactic parsing model using Cocke-Younger-Kasami algorithm
• Performed semantic latent structure identification using Expectation-Maximization trained on the Universal Dependencies English Web Text corpus
• Trained FFNN, RNN, and LSTM neural networks for natural language processing tasks