# Ayushi Batwara

> EECS & Business @ UC Berkeley M.E.T.

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

I'm a product-focused ML engineer who's shipped multiple AI products from 0-to-1, with a track record of turning research into user-facing features that drive adoption. My combination of deep technical ML knowledge and product intuition lets me build AI products that users actually want to use.

Reach out at ayushibatwara[at]gmail.com or send me a message.

## Work Experience
### Software Engineer @ Databricks
Jan 2025 – Present
ML Infrastructure

### Accel Scholar @ Accel
Jan 2023 – Present

### Neo Scholar @ Neo
Jan 2022 – Present

### Machine Learning Researcher @ MIT Lincoln Laboratory
Jan 2024 – Jan 2024
RAG architectures for multi-instance learning

### Software Engineering Intern @ Databricks
Jan 2024 – Jan 2024
MLOps Productionization

### Undergraduate Researcher @ Berkeley RISE Lab
Jan 2023 – Jan 2024
RAG Pipelines for Domain-Specific Language (DSL) documentation

### yeSWEcan Instructor (DeCal) @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2022 – Jan 2023
Co-creator of practical software engineering course

### CS 70 Teaching Assistant (uGSI) @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2022 – Jan 2023
CS 70: Discrete Mathematics and Probability Theory
2023 Outstanding Graduate Student Instructor Award

### Software Engineering Intern @ Vanta
Jan 2023 – Jan 2023
Vendors Team (fastest growing team)

### Machine Learning Researcher @ Boston Public Health Commission
Jan 2022 – Jan 2023
Using ML to find digital twin pairs for US public health departments

### Software Engineering Intern @ Dell Technologies
Jan 2022 – Jan 2022
Backend API development for managaing a Dell multi-cloud storage product

### Researcher @ Data Science Discovery Program
Jan 2021 – Jan 2021
Data analysis to identify the relationship between academic probation and academic performance among UC Berkeley undergraduate students

### Systems Medicine Intern @ Institute for Systems Biology
Jan 2020 – Jan 2021 | Seattle, Washington, United States
Created ‘The Health (In)Equities Simulation’ – interactive, online simulation for students to navigate the challenges and complexities of healthcare through alternative perspectives


## Education
### Bachelor of Science @ Berkeley EECS in Bachelor of Science @ Berkeley Haas
UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program

### Bachelor of Science - BS in Electrical Engineering and Computer Sciences
UC Berkeley College of Engineering

### Bachelor of Science - BS in Business Administration
University of California, Berkeley, Haas School of Business

### High School Diploma
Eastlake High School

### Central Washington University

### Irvington High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/ayushibatwara
- Portfolio: https://ayushib4.github.io/

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Source: https://flows.cv/ayushibatwara
JSON Resume: https://flows.cv/ayushibatwara/resume.json
Last updated: 2026-04-11