Education
Jan 2022- Dec 2022
Cornell University, Ithaca, NY
MEng, Computer Science (spec. in ML/AI)
Jul 2017- Jun 2021
Vellore Institute of Technology, Vellore
BTech, Computer Science and Engineering
Research Experience
May 2024- May 2025
[1] Johns Hopkins University, Center for Digital Health and AI
Research Assistant
Topic: Developing Foundation Models for Medical Message Design, Diabetes Prediction and Management
Sep 2022- Present
[2] Autonomous Systems Lab, Cornell University
Master of Engineering Project II
PI: Prof. Mark Campbell
Topic: Reinforcement Learning Testbed for Autonomous Robot Navigation
Feb 2022- Aug 2024
[3] Human-Robot Collaboration and Companionship Lab, Cornell University
Master of Engineering Project I, Graduate Researcher
PI: Prof. Guy Hoffman
Topic: ShadowSense
May 2019- Jul 2019
[4] Stochastic Systems Lab, CSA, Indian Institute of Science
SRFP Scholar
PI: Prof. Shalabh Bhatnagar
Topic: Stochastic Game Frameworks for Efficient Energy Management in Microgrid Networks
Jan 2021- Jun 2021
[5] Undergraduate Capstone Project
PI: Prof. Geraldine Bessie Amali D.
Topic: Efficient Renewable Energy Powered Automatic Water Dam Control System
Dec 2019- Feb 2021
[6] Academic Research Project
PI: Dr. Kakelli Anil Kumar
Topic: A New Combined Model with Reduced Label Dependency for Malware Classification
Engineering Experience
Apr 2023- Jan 2024
[1] American Express, New York, United States
Engineer III
Sept 2021- Jan 2022
[2] Harman International Pvt. Ltd., Bangalore, India
Associate ML Engineer
May 2020- Jul 2020
[3] Visa Inc., Bangalore, India
Software Engineering Intern
Feb 2020- Jun 2020
[4] Hewlett Packard Enterprise, Bangalore, India
HPE CTY Program Intern
Dec 2019- Jul 2020
[5] Samsung R&D Institute, Bangalore, India
PRISM Project Developer
Notable Open Source Contributions:
Jun- Aug 2020
[1] Google Summer of Code (2020), FrameNet Brasil UFJF
Charon
Charon is a preprocessing and reporting Module for the FNBr Webtool developed during GSoC. It serves as a tool for preprocessing text and image data in videos for multimodal annotation.
[2] Research Volunteer, Carboncopies Foundation
BrainGenix-NES
BrainGenix-NES or NES is the Neuron Emulation System division of the BrainGenix department at Carboncopies. NES is a distributed biological neuron simulator designed for the emulation of human minds.
Service:
[1] Peer Reviewer: IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024)
[2] Peer Reviewer: Journal of Network and Systems Management (2020)
Served as a reviewer in their special issue for Cybersecurity management in the era of AI.