# Akshay Anand

> CS @ Berkeley

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

Interested in algorithms that move us towards general intelligence.
akshay_anand@berkeley.edu

## Work Experience
### Member of Technical Staff @ OpenAI
Jan 2026 – Present | San Francisco, California
Incoming Fall 2026

### Software Engineer @ Databricks
Jan 2026 – Present | San Francisco, California
Incoming Summer 2026

### Researcher @ Berkeley Artificial Intelligence Research
Jan 2025 – Present
Defending LLMs from distillation attacks
Advised by Sewon Min

### Researcher @ Berkeley Artificial Intelligence Research
Jan 2025 – Present
Reinforcement learning and articulatory control for speech generation
https://arxiv.org/pdf/2510.05619
[ASRU 2025] https://arxiv.org/pdf/2508.17623
Advised by Gopala Anumanchipalli

### Machine Learning Engineer @ Machine Learning at Berkeley
Jan 2024 – Present
http://ml.studentorg.berkeley.edu

### Course Staff @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2025 – Present
Fa25: CS 170

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2025 – Jan 2025 | Palo Alto, California
SageMaker Unified Studio

### Research Engineer @ Stanford Artificial Intelligence Laboratory (SAIL)
Jan 2025 – Jan 2025
Terminal Bench
[ICLR 2026] https://arxiv.org/pdf/2601.11868

### Machine Learning Engineer @ Snap Inc.
Jan 2025 – Jan 2025
Quantizing Flux Pipelines


## Education
### University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/akshay-anand-968b27230

---
Source: https://flows.cv/akshayanand
JSON Resume: https://flows.cv/akshayanand/resume.json
Last updated: 2026-04-01