SPIN Intern

• Aug 2023 - Present

Early Detection and Prediction of Parkinsonism using Multi-modal few shot learning Early Detection and Prediction of Parkinsonism using Multi-modal few shot learning

Undergraduate Research Assistant

• Aug 2023 - Present

Research on Security of LLMs Research on Security of LLMs

Head of AI/ML

• Aug 2023 - Present

Technical Team Lead

• Jan 2023 - Aug 2023

SWE

• Sep 2022 - Jan 2023

Working on a research project about detecting malware using hardware data and ML. Affiliated with AMD

Undergraduate Student Researcher - Kreiman Lab

• May 2023 - Present

Undergraduate Researcher

• Nov 2022 - May 2023

Working as a research assistant in the field of information extraction, advised by Prof. Kevin Chang. Developing and investigating techniques to extract information from known and unknown types of resumes. Working as a research assistant in the field of information extraction, advised by Prof. Kevin Chang. Developing and investigating techniques to extract information from known and unknown types of resumes.

R&D team

• Sep 2022 - Dec 2022

Developing a Co-Founder match system using Go and React. Developing a Co-Founder match system using Go and React.

Co-Lead Software; Robot Construction Member

• Dec 2021 - Feb 2022

Our team was the Runner-s Up Alliance Captain(2nd place) at First Tech Challenge India, a competition in robotics. We also won the Connect Award for our team's efforts regarding community outreach. Additionally, we were also nominated for the Control Award for software innovation with our robot. We used Java to program the robot and tensorflow models to identify objects on the game field of the robot. The team also developed a driver-centric mechanism for the robot. Our team consisted only of students from Mahindra United World College of India, and we also worked without any robotics mentor to guide us Show less

Intern

• Jun 2021 - Aug 2021

Worked with Unity to develop AR applications. Trained deep learning models(CNNs) with PyTorch and integrated it into the Unity app. Worked with Unity to develop AR applications. Trained deep learning models(CNNs) with PyTorch and integrated it into the Unity app.

Research Intern

• Jun 2021 - Aug 2021

Research on scenario generation for autonomous vehicle training. Worked with Carla, python and Unreal Engine to create Autonomous vehicle simulations using pre-trained behaviour modules. Used Reinforcement Learning(Deep-Q-Learning) for training an agent to learn to drive safely in the simulation. Gave a presentation on the work done. Selected in the summer program with an acceptance rate of 23%. Research on scenario generation for autonomous vehicle training. Worked with Carla, python and Unreal Engine to create Autonomous vehicle simulations using pre-trained behaviour modules. Used Reinforcement Learning(Deep-Q-Learning) for training an agent to learn to drive safely in the simulation. Gave a presentation on the work done. Selected in the summer program with an acceptance rate of 23%.