About
I am a recent graduate from Panjab University, Chandigarh, where I earned my Bachelor of Engineering in Electronics and Communications Engineering with a grade of 8.04. My academic journey has been deeply enriched by my passion for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Personal Website
With the release of the OpenAI GPT Store, I decided to build a SaaS which allows users to collect email addresses from their GPT users. This is a great way to build an audience and monetize your GPT API usage.
I like building things
During my time in university, I attended 6+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
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4th Thermal Image Super-Resolution Challenge (TISR)
Davis, California
Competed in an international challenge focused on enhancing the resolution of thermal images using advanced image processing and machine learning techniques. Collaborated with global participants to push the boundaries of super-resolution technology, gaining hands-on experience with cutting-edge algorithms and real-world thermal imaging data. - S
Smart India Hackathon
Chandigarh, India
Developed a gaming mobile application for Alzhiemers Detection and Prevention. - e
e-Yantra Robotics Competition 2019-20
IIT Bombay, India
Our team advanced through V-REP simulations involving line-following, pick-and-place tasks, and path-planning algorithms. We also designed and built a physical robot with provided components to solve complex challenges. - e
e-Yantra Robotics Competition 2019-20
IIT Bombay, India
Developed a mobile application which communcicates a victims medical data from inside an ambulance to doctors at hospital. - S
Smart India Hackathon
San Francisco, California
Developed a web application which aggregates social media data regarding cryptocurrencies and predicts future prices. - S
SF Hacks 2021
Waterloo, Ontario
Developed an app that compared navigational performance across genders and age groups to detect early Alzheimer’s risk. The app analyzed quiz scores and translates them into scientific data, identifying changes in cognitive patterns before clinical symptoms appear. It also included a feature to help users find their way home if disoriented, providing a personalized approach to early detection and diagnosis.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on LinkedIn and I'll respond whenever I can.