Welcome to my GitHub profile! I'm an AI Engineer at mediMESH, a researcher, and a data science enthusiast with a passion for machine learning, deep learning, and blockchain technologies. I thrive on solving complex problems and contributing to innovative projects that make a real-world impact.

Feel free to reach out to me through the following platforms:

Machine Learning Contributor - Open Source Volunteer Program (May 2024 - Present)

• Developed and maintained open-source machine learning projects using Python, TensorFlow, PyTorch, and Git.

AI Engineer and Software Engineer - Work Student (March 2023 - Present)

• Developed an AI-based anonymization pipeline reducing processing time by 99.84%.
• Implemented custom face detection and annotation modules.
• Managed system administration and data workflows using Detectron2, YOLO, SAM, Docker, OpenCV, CVAT, and PyTorch.

Data Science Intern (July 2020 - September 2020)

• Generated and cleaned datasets for video analytics projects from Open Images.
• Improved dataset transfer time by 99% with efficient Python APIs.

Master of Sciences - Data and Knowledge Engineering (April 2022 - October 2024 (Expected))

• Grade: 1.9

Bachelor of Engineering - Computer Engineering (July 2017 - July 2021)

• Grade: 1.4

• Created custom YOLO object detection models for hospital environment and designed a report generation module.
• Built a multi-camera object tracking prototype for healthcare using Python, PyTorch, TensorFlow, Object Tracking.

• Implemented and assessed attribution methods on models, identifying vulnerabilities.
• Developed evaluation metrics such as Pearson Correlation Coefficient and Earth Mover’s Distance using Python, PyTorch, TensorFlow, Captum.

• Led a team to build a waste segregation system using Deep Learning and integrated with Raspberry Pi using Google Cloud, Flask, TensorFlow, Keras.

• Led a team of 6 in a Hackathon, managed agile scrum meetings, developed a recommendation system, built web pages, and presented an F2C platform using Data Science, Machine Learning, Deep Learning, Blockchain, Flask, and IoT.

• Patent: Smartzzy, Application number: 202121011507, Region: India, Status: Published (September 2022).
• Patent: Smart Parkade, Application number: 202121011511, Region: India, Status: Published (September 2022).
• Winner and Runner up of many Hackathons and Project Exhibitions.