CV

EDUCATION

Stanford University Jun 2026

  • Master of Science in Computer Science, specialized in Machine Learning
  • Relevant Coursework: Machine Learning with Graphs, Deep Learning

University of California, Berkeley Dec 2023

  • Bachelor of Science in Electrical Engineering and Computer Science
  • GPA: 3.97 High Honors

EXPERIENCE

Qualcomm
GPU Research Engineering Intern Summer 2024

  • Developed object-oriented, highly extensible C++ code for an internal raytracing software
  • Reduced disk usage by 300% by adding fast (1530 MB/s) inline streaming compression using ZSTD library with marginal cost to runtime
  • Added support for new use cases to the software.

Grokstream
Data Science and Software Engineering Intern Summer 2022, Summer 2023

  • Developed tools for efficient data analysis and validation using NumPy, SciPy, and Pandas
  • Optimized the clustering and classification codebase and migrated to alternate data storage solution.
  • Developed SSO authentication backend for Django product web app.
  • Analyzed customer data and trained accurate models for deployment to customer environments.

PROJECTS

PintOS Operating System Sep 2022 – Dec 2022

  • Implemented many aspects of an x86 based operating system in C, including processes, threads, priority scheduling, user programs, buffer cache, and file system interaction, working in a group of 4
  • Wrote detailed technical design documentation.

Intractable Problem Approximation Apr 2022

  • Working in a group of 3, developed solutions to an NP-Complete problem through a stochastic greedy and simulated annealing algorithm, optimized through parallelism and using Google Cloud resources to boost computational efficiency.

Distributed Version Control System Mar 2021

  • Developed a lite version control system based on Git with support for commits, adding files, removing files, branching, merging, checking out, logging, and status queries.

Personal Website (bugmilkshakes.org) Aug 2024

  • Created personal website to host a blog, using the svelte Framework, and using Bootstrap to create custom styling.

SKILLS & INTERESTS

  • Python, C++, C, Java, Groovy, NumPy, Pandas, SciPy, PyTorch, Machine Learning, Git Version Control
  • Algorithm Development, Linear Algebra, Deep Learning Techniques
  • Poetry, Public Radio, Experimental Music