About Me

I'm a Master's student at UC Berkeley, studying Electrical Engineering and Computer Science, advised by Chris Fletcher. My research interests lie in domain-specific hardware acceleration, particularly in the areas of machine learning and cryptography.

I'm originally from the suburbs of Chicago, IL. My hobbies include tennis, Taekwondo, and weightlifting. In my free time, I love exploring the Bay Area, going to concerts, and being outside in nature.

What I Do

  • study icon

    Study

    Master's degree in Electrical Engineering and Computer Science.

  • Research icon

    Research

    Domain-specific hardware acceleration for ML and cryptography.

  • teaching icon

    Teach

    TA for CS 152: Computer Architecture, DS workshops.

  • soldering iron icon

    Tinker

    DIY projects with electronics, 3D printing, and more.

Resume

Education

  1. University of California, Berkeley

    2025 — 2026

    M.S. Electrical Engineering and Computer Science. Advised by Professor Chris Fletcher.

  2. University of California, Berkeley

    2022 — 2025

    B.S. Electrical Engineering and Computer Science. Graduated with a 4.0 GPA.

  3. Bartlett High School

    2018 — 2022

    STEM Academy Program. Graduated with a 4.0 GPA.

Experience

  1. AWS: ML Chip Architect Intern

    May 2025 — Aug 2025

    Prototyped architectural changes to Trainium accelerators to optimize performance for dynamic ML workloads like Mixture of Experts models.

  2. AWS: ML Chip Architect Intern

    Sep 2024 — Dec 2024

    Integrated new hardware features on Trainium accelerators to optimize collective communication algorithms in ML workloads. Developed emulation tools to verify and benchmark new hardware features.

  3. Apple: Design Verification Intern

    May 2024 — Aug 2024

    Developed tools and algorithms using Cadence Indago and Tableau to validate connectivity and security properties in data and identity interfaces.

  4. Applied Materials: Data Science Intern

    May 2023 — Aug 2023

    Developed data analysis tooling for proprietary semiconductor manufacturing tools to be used in sub-2nm process nodes. Applied machine learning techniques to analyze trends in metrology data and identify optimal process parameters.

Skills

  • Python

  • Java

  • C

  • C++

  • Scala

  • SQL

  • Rust

  • Verilog

  • Chisel

  • Chipyard

  • Cadence Indago

  • Cadence Genus

  • Cadence Innovus

  • Cadence Spectre

  • Cadence Virtuoso

  • Synopsys VCS

  • EDA

  • PCB Design

  • Altium

  • EasyEDA

  • Spice

  • Microcontrollers

  • Arduino

  • Raspberry Pi

  • Data Protocols

  • AWS

  • Bash

  • Linux

  • Git

  • Flask

  • React

  • Docker

  • REST

  • Bootstrap

  • Numpy

  • PyTorch

  • Scipy

  • Scikit-learn

  • Pandas

  • Seaborn

  • Plotly

Extracurriculars

  1. Lab TA for CS 152

    Jan 2025 — May 2025

    USC2 for CS 152: Computer Architecture.

    Developed laboratory assignments for 150+ students to experiment with computer architecture concepts, including architectural prototyping, simulation, performance modeling, and ML accelerator programming.

  2. Big Data at Berkeley

    Aug 2024 — Dec 2024: President

    Managed club of 60+ members. Organized contract projects with companies on analytics and ML/AI integrations. Facilitated DS workshops for 60+ high-school students in the Bay Area. Managed teams to coordinate hackathons and career fairs for 500+ Berkeley CS/DS students.

    Jan 2024 — May 2024: VP of Online Course

    Managed department of 10+ members to develop and manage an interactive online data science course for high school students to learn essential data science skills.

    Aug 2023 — Dec 2023: Head of Web Dev

    Managed a team of 5 web developers on multiple projects to design the user interface, and integrate analytics, database systems, accounts, and other features into the website.

  3. Formula Electric at Berkeley

    Aug 2023 - May 2024

    Member of the EE team for the Formula Electric at Berkeley, designing an EV racecar for the FSAE international competition. Worked on low-voltage microcontroller systems for the accelerator and brake pedal sensors, ensuring safety and reliability of the high-voltage power delivery mechanism to the motors.

  4. Lab Staff for EECS 16A

    Jan 2023 - May 2024

    USC1 for EECS 16A: Designing Information Devices and Systems I

    Managed laboratory sections of 30+ students working on electronics projects and linear algebra-based signal processing. Reinforced lecture content with individual tutoring and guided troubleshooting on projects.