About Me
I hold a Master's degree in Computer Science with a specialization in Artificial Intelligence, having graduated in May 2024. My studies encompassed a broad range of Computer Vision applications, particularly in depth and pose estimation, speed approximation of small and fast-moving objects, and classification utilizing the frequency spectrum. I am currently working with IngenID LLC as a Software Engineer, developing and maintaining web and mobile-based applications to expertly utilize their voice biometrics APIs.
While I continue to honor my skills in deep learning, I've always had a profound interest in developing frontend applications, primarily mobile but I have been delving into web development recently in hopes of reaching a larger user base.
While I continue to honor my skills in deep learning, I've always had a profound interest in developing frontend applications, primarily mobile but I have been delving into web development recently in hopes of reaching a larger user base.
Education & Experience
IngenID LLC
Software Engineer
2024
IngenID LLC
Software Development Engineer Intern
2023
Voice Biometrics Group
Software Engineer Intern
2022
Tata Consultancy Services Ltd.
Assistant Systems Engineer
2021
Rochester Institute of Technology
Master of Science in Computer Science
2021-2024
University of Mumbai
Bachelor of Engineering in Computer Engineering
2016-2020
Skills
Programming Languages
Frameworks & Tools
Projects
Gait Analysis for Person Classification
Developed a groundbreaking model that utilizes gait recognition with a 92% accuracy rate, overcoming the limitations arising from wearing masks.
- Python
- TensorFlow
Tymr
Tymr is a standalone watchOS application that helps you save time you spend at the gym working out by tracking your rest intervals.
- Swift
- HealthKit
Noughts & Crosses
An iOS-based game to play Tic-Tac-Toe against an expert AI using the minimax algorithm with alpha-beta pruning.
- Swift
- SwiftUI