Research Engineering

• May 2023 - Present

AI/ML Researcher

• Jun 2022 - May 2023

Worked with Prof. Farinaz Koushanfar (UCSD ECE) at the ACES Lab on building a framework that accelerates the inference of graph neural networks in distributed systems.

Graduate Student Researcher

• Mar 2022 - Aug 2022

Worked with Prof. Lily Weng (UCSD HDSI & CSE) on developing certification schemes to achieve guaranteed bounds on rewards and make RL models more robust.

Graduate Teaching Assistant

• Mar 2022 - Jun 2022

TA-ed CSE 256: Statistical Natural Language Processing with Prof. Ndapa Nakashole (UCSD CSE). Held office hours and discussions, helped create and grade weekly programming assignments, and ensured clarity of concepts for 300+ graduate students from departments across UCSD.

Machine Learning Engineer

• Apr 2020 - Jun 2021

Built ML systems and wrote computational algorithms for quantitative trading using multimodal data. I also designed natural language processing and graph-based deep learning solutions to economic and societal problems. We collaborated with researchers across Tower Research Capital, Bloomberg NYC, MIT CSAIL, NUS Singapore, and Vanderbilt University. Published research at 10 top CS conferences. Built ML systems and wrote computational algorithms for quantitative trading using multimodal data. I also designed natural language processing and graph-based deep learning solutions to economic and societal problems. We collaborated with researchers across Tower Research Capital, Bloomberg NYC, MIT CSAIL, NUS Singapore, and Vanderbilt University. Published research at 10 top CS conferences.

ML Research Fellow

• Aug 2018 - Mar 2020

Devised deep-learning-based computer-vision solutions to critical societal, social, and technical problems. Broadly, my work: prevents drivers from falling asleep behind the wheel, prevents spoofing attacks on facial recognition systems, identifies complex human activities in videos for industrial and military purposes, and more. We worked with teams across LG Soft, Samsung, Cognizant, Hiroshima University, and IIT Jodhpur. Devised deep-learning-based computer-vision solutions to critical societal, social, and technical problems. Broadly, my work: prevents drivers from falling asleep behind the wheel, prevents spoofing attacks on facial recognition systems, identifies complex human activities in videos for industrial and military purposes, and more. We worked with teams across LG Soft, Samsung, Cognizant, Hiroshima University, and IIT Jodhpur.

Software Engineering Intern

• Dec 2017 - Feb 2018

ML Research Intern

• May 2017 - Jul 2017

Co-Founder

• 2015 - 2016