About

Hi, I’m Sarath, a member of the technical staff at Tenyx, where I’m part of the research team building the next generation of AI. My research interests span a range of topics, from signal processing, graph theory to geometric deep learning.

Previously, I obtained my Ph.D. from the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California, where I worked with Prof. Antonio Ortega. During my Ph.D., I focused on non-parametric, neighborhood/graph algorithms for understanding data and machine learning models.

Want to connect, collaborate, or chat about grad school, research, etc.? Schedule a meeting here: Google Meet

What’s New

[Jan 2024] Leading the work on TenyxChat, a series of language models trained to function as useful assistants. Check it out on HuggingFace

[Dec 2023] Blog post on one of our research at Tenyx: Forgetting and Toxicity in LLMs: A Deep Dive on Fine-Tuning Methods

[Nov 2023] Paper out on arXiv: Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation

[July 2023] Internship work at Google, Data Sampling using Locality Sensitive Hashing for Large Scale Graph Learning, will be presented at MLG workshop, KDD 2023.

[June 2023] Joining Tenyx! I will be working on developing novel research solutions to fast, efficient, and continual learning paradigms and architectures.

[Apr 2023] I have been named a IEEE Rising Star in Signal Processing. I will be presenting my work as part of the inaugural cohort at ICASSP

[Apr 2023] I defended my Ph.D. thesis, Neighborhood and Graph Constructions using NNK. Google slides

[Mar 2023] I will be attending ICASSP at Rhodes, Greece and GSP Workshop at Univ. of Oxford. Ping me if you want to chat/hang out!

Background

Prior to joining USC for my Ph.D., I worked as a software engineer for 2.5 years at KLA-Tencor’s Wafer Inspection Division on defect classification software.

I obtained my Master’s degree with a specialization in computer vision and machine learning from USC. During my study, I had the opportunity to work as part of the computer vision research group at USC Institute for Robotics and Intelligent Systems, where I was advised by Dr. Jongmoo Choi under the guidance of Prof. Gerard Medioni. I was also a part-time software developer at the Laboratory of Neurological Imaging, where I worked on the project Informatics Visualization in NeuroImaging (INVIZIAN) led by Prof. John Van Horn.

I completed my Bachelors degree in Electronics and Communication from National Institute of Technology - Tiruchrappalli, where I worked under the advise of Profs. Deivalakshmi and Palanisamy.