# Aayush Lakhotia

> Computer Science & Physics @ UC Berkeley

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/aayushlakhotia

I’m a Computer Science and Physics double major at UC Berkeley. I spend most of my time at the intersection of systems programming and machine learning. I’ve worked on everything from building NES emulators in C to training diffusion models on A100s for physics simulations.

I enjoy the challenge of making things run faster, whether that’s through GPU acceleration or writing low-level code in Rust. I’m looking for summer 2026 internships where I can work on complex technical problems, especially in systems, AI infrastructure, or research-heavy roles.

## Work Experience
### Chess Instructor @ ChessWizards
Jan 2023 – Jan 2025 | San Francisco, California, United States
1. Led engaging after-school chess classes for K-5 graders at 10+ elementary schools in SF Bay Area, promoting  critical thinking, problem-solving, and sportsmanship.
2. Developed student confidence & social skills in a learning environment.

### Software Engineer @ DevRev
Jan 2024 – Jan 2024 | Palo Alto, California, United States
1. Developed new user experience collaborating with a team of 4 to adapt DevRev’s product for the Apple Vision Pro using SwiftUI.
2. Efficiently learned and implemented multiple paradigms, including MVVM, DTOs, and Domain Models, to map and utilize backend data in the UI.
3. Gained experience in navigating a production environment, deepening familiarity with a large codebase, and actively participated in peer code reviews, both improving my own code and helping enhance others’ code

### Research Assistant @ UC San Diego
Jan 2022 – Jan 2023 | San Diego, California, United States
1. Developed a Python program to simulate RADAR data from LIDAR using Splat based point cloud ray tracing.
2. Conducted experiments and analyzed performance metrics to evaluate the effectiveness and efficiency of the ray tracing
3. Collaborated with a team to improve performance and develop smarter and more accurate algorithms.


## Education
### Bachelor's degree in Computer Science and Physics
University of California, Berkeley

### High School Diploma
Homestead High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/aayush-lakhotia-7118a518a

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Source: https://flows.cv/aayushlakhotia
JSON Resume: https://flows.cv/aayushlakhotia/resume.json
Last updated: 2026-03-29