# Spurthi Amba Hombaiah

> Researcher @ Google DeepMind

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

I'm a Researcher at Google DeepMind working on personalization and user-memory systems for Gemini frontier models. I'm interested in tackling challenging problems in AI research and creating tangible impact through my work.

## Work Experience
### Staff Software Engineer / Tech Lead @ Google DeepMind
Jan 2024 – Present | Mountain View, CA
Part of the Generative AI unit working on personalization and user-memory systems for Gemini frontier models. Working on evaluation and post-training (SFT and RL) efforts.

### Staff Software Engineer @ Google
Jan 2016 – Present | Mountain View, California, United States / London, United Kingdom
Currently, part of the Generative AI unit at GDM working on personalization of LLMs.

Previously, was part of an applied research team with a focus on improving search and discovery across Google products using state-of-the-art research in ML, IR, and NLP. Was specifically working on personalized content generation, improving information quality, dynamic content understanding, and creator modeling.

Previously, built low-latency distributed and scalable data infrastructure to enable efficient and effective management of compute, storage, and network resources Google-wide.

### Graduate Teaching Assistant @ Georgia Institute of Technology
Jan 2014 – Jan 2014
Course: Computational Science and Engineering Algorithms
Responsibilities included assisting graduate students in understanding course material, resolving questions regarding assignments and course projects, and grading assignments, exams, and projects.

### Intern @ Indian Institute of Science
Jan 2012 – Jan 2012 | Bangalore
An Optimal Fuzzy Controller for Inverted Pendulum Problem
*Implemented a fuzzy controller for inverted pendulum problem and tuned it with different evolutionary algorithms.
*Studied time complexity for both the normal and the vectorized implementations of the algorithms and achieved around 7% time reduction on account of optimization due to vectorization.

### Summer Research Fellow @ Indian Institute of Science Education & Research (IISER), Kolkata
Jan 2011 – Jan 2011 | Kolkata Area, India
Study of Elliptic Curves: Arithmetic, Geometric and Algebraic Perspectives

### Intern @ Raman Research Institute
Jan 2011 – Jan 2011 | Bangalore
Voice-enabled Wheelchair
*Trained a speech recognition circuit to recognize commands for running a motor which in turn drove a wheelchair.
*Interfaced an Arduino board to the speech recognition circuit and RS160D (motor controller) to achieve variations in speed and to change the direction of rotation of the motor.


## Education
### Master of Science (MS) in Computer Science, Concentration - Machine Learning
Georgia Institute of Technology

### Bachelor of Technology (B.Tech.) in Computer Engineering
National Institute of Technology Karnataka


## Contact & Social
- LinkedIn: https://linkedin.com/in/spurthiah

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Source: https://flows.cv/spurthiambahombaiah
JSON Resume: https://flows.cv/spurthiambahombaiah/resume.json
Last updated: 2026-04-12