# Vrishab Madduri

> Software Engineer @ Google

Location: Cambridge, Massachusetts, United States
Profile: https://flows.cv/vrishab

UC Berkeley graduate interested in computer architecture, machine learning, data science, and optimization.

## Work Experience
### Software Engineer @ Google
Jan 2023 – Present | Sunnyvale, CA / Cambridge, MA
2026-now: Gemini inference / serving on Google Cloud Dedicated

2023-2026: TPU chip development infrastructure

### Software Development Engineer @ Amazon
Jan 2022 – Jan 2023 | Cambridge, Massachusetts
Alexa AI - Natural Understanding

### Undergraduate Researcher, ADEPT/SLICE Lab @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2021 – Jan 2022 | Berkeley, California
Berkeley Architecture Research (UCB-BAR)
Advised by: Prof. Krste Asanovic and Sagar Karandikar 
Designing a hyperscale compression accelerator.

### Design Verification Intern @ Amazon Web Services (AWS)
Jan 2021 – Jan 2021 | Austin, Texas
Cloud-scale machine learning acceleration at Annapurna Labs.

### Undergraduate Researcher @ The Greater Good Science Center
Jan 2021 – Jan 2021 | Berkeley, California, United States
Researching ML methods for emotion recognition.

### Data Science Intern @ American Heart Association
Jan 2021 – Jan 2021
Institute for Precision Cardiovascular Medicine

### SoC Design Engineer Intern @ Intel Corporation
Jan 2020 – Jan 2020 | Austin, Texas
Security and memory design/verification for cutting-edge 5G networking server chips.

### Machine Learning Researcher @ University of California, San Francisco
Jan 2020 – Jan 2020 | San Francisco Bay Area
Developed cortical self-supervised learning methods for Project Clarify: an open-source project led by UCSF Neuroscape that uses AI-driven state understanding in experimental medicine.

### EECS16B Academic Student Employee @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2020 – Jan 2020 | Berkeley, California, United States
Mentored students in weekly lab sections to augment their understanding of course material with real-world applications. This course is focused on analog/digital circuit design, control systems, and basic machine learning concepts.

### Software Developer @ Escape Tech
Jan 2019 – Jan 2020 | San Francisco Bay Area
• Training a machine learning algorithm for object tracking and localization for an AR Headset using TensorFlow
• Optimizing neural networks for the NVIDIA Jetson Nano platform

### Undergraduate Technical Intern @ Intel Corporation
Jan 2019 – Jan 2019 | Austin, Texas
Scripting and tool optimization for the Atom CPU Circuit Design Team

### Research Assistant @ The University of Texas at Austin
Jan 2017 – Jan 2017 | Austin, Texas
Worked in the Supramolecular Sensors Lab in the University of Texas at Austin’s College of Natural Sciences with several other undergraduate students and a lead professor. Specifically, I worked on the wine team, in which we used peptide-based sensors to differentiate compounds of wine. We studied whether wine connoisseurs are able to determine the origin based on the compounds in the wine itself, or whether it was due to the oak barrels in which the wine was aged.


## Education
### IEOR in EECS
UC Berkeley College of Engineering

### Westlake High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/vrishab-madduri-b2157a143

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Source: https://flows.cv/vrishab
JSON Resume: https://flows.cv/vrishab/resume.json
Last updated: 2026-03-28