Education
Cornell University
Jan 2022 - May 2022
- M.Eng. Computer Science
- GPA 4.3 / 4.3
Cornell University
Aug 2018 - Dec 2021
- B.S. Computer Science, Summa Cum Laude
- Minor in Mathematics
- GPA 4.2 / 4.3
Experience
Software Engineer
@ Juniper Networks
Nov 2022 - Present
- Developed tool to generate and measure throughput of line-rate traffic on device
- Fixed datapath issues related to e.g. default MTU size, firmware load time
- Created tools to manage internal processes for team
AR & NLP Research Intern
@ Bosch
Jun 2022 - Oct 2022
- Defined user study to evaluate novel interaction in augmented reality
- Trained and deployed n-gram language models
Systems Research
@ Cornell
Sep 2021 - May 2022
- Parallelized model checker in C
- Developed technique for efficient verification of programs used in Operating Systems course
NLP Research
@ Cornell
Jan 2021 - Dec 2021
- Developed PyTorch training and evaluation pipelines for language models
- Researched named-entity recognition
Open-Source Contributor
@ Homebrew
May 2020 - Aug 2020
- Implemented web scraper to add license information to 2500 homebrew-core packages
- Addressed long-standing user confusion by merging 8 similar commands
Projects
OceanScene
/ Real-Time Rendering
Spring 2022
- Built multi-stage deferred rendering pipeline in OpenGL using C++
- Implemented Tessendorf ocean simulation based on inverse FFT
Xi
/ Compiler
Spring 2020
- Parsed context-free grammar
- Implemented dataflow analysis and optimizations, including register allocation
- Developed test framework with unit, performance, and integration tests
Skills
- Python, PyTorch, Transformers, Swift, iOS App Development, Java, C++
Coursework
- Compilers, Computer Graphics, Computer Vision, Embedded Systems, Formal Verification, Natural Language
Processing, Operating Systems, Quantum Computing, Software Defined Networking
- Differential Equations, Linear Algebra, Number Theory