Sarath Shekkizhar, Ph.D.

University of Southern California

GPA: 3.93

Advisor: Antonio Ortega

University of Southern California

GPA: 4.0

University of Southern California

GPA: 3.86

National Institute of Technology, Tiruchirappalli

GPA: 9.12

Salesforce

San Francisco, CA

Working on foundational research on (multi) agentic systems and LLM training for improved reasoning and alignment. I continue to spend some of my research time on aspects of voice AI and agentic design for applied research.

Tenyx (Acq. by Salesforce)

Los Altos, CA

Part of the founding team at Tenyx building Voice AI for customer support. Was primarily focused on research and algorithms for various aspects of voice agents. Key accomplishments include research on continual learning, building TenyxChat series of models, and geometric characterization of LLMs. Was also involved in product development, particularly in endpointing, audio disambiguation, and agent governance.

Google

Sunnyvale, CA

Worked on understanding the impact of input data used in training graph models and scalable sampling approaches to improve semi-supervised graph learning. Preliminary experiments with proposed graph learning showed 3x increased recall in abuse detection. Host: Mohamed Farghal, Animesh Nandi, Behavior Protections, Counter-Abuse Technology.

KLA Tencor

Milpitas, CA

Designed and developed tools to classify and visualize defect modulations for Process Window Qualification in wafer fabrication. Also, implemented and co-owned components for analysis and classification using decision trees and random forests.