I'm Raj, an undergraduate computer science major at Georgia Tech.
I'm currently specializing in Artificial Inteligence and Information Internetworks and have a passion to learn more about Machine Learning, Big Data technologies, HCI and Ubiquitous Computing.
Feel free to look around and contact me (using the form below) if you'd like to get in touch.
I'm a 4th year Computer Science major from Atlanta, Georgia. I attended high school in United Arab Emirates and spent most of my childhood there. I developed an interest in Computer Science when I started programming at the age of 13. It's been more than 8 years and I haven't looked back since!
I'm currently a Teaching Assistant for CS3510, an Algorithms course, at Georgia Tech.
I'm also researching under Dr. Thad Starner on machine learning for food-intake monitoring and on gesture prototyping and under Dr. Ashok Goel on the intersection of Artificial Intelligence on Biologically inspired designs.
I love participating in Hackathons, programming competitions, working on side-projects, playing table tennis and following college football.
I've researched and worked on a variety of projects over the last few years- both, as part of classes and as side-projects. I've also worked at Amazon and Microsoft as a Software Engineering Intern and got a chance to work on interesting, deployable, projects in a corporate environment.
For a more comprehensive list of my work over the years, visit my LinkedIn page!
• Worked on replacing legacy MSN video player with Azure Media Player.
• Determined useful customer engagement and quality of service metrics and created a telemetry plugin to record this data.
• Developed a model to find the safest walking route from one place to another in Seattle, using google maps, given the time of the day and publicly available crime data.
• Created an application that can cache an open session, consisting of other applications, on one device and restore them on another device.
• Won the Top 10 and "Best project implementing Microsoft technologies" award at HackGT 2014.
• Desiged and implemented an algorithm to identify individuals based on their typing patterns.
• Used Google Prediction API to process datasets and identify patterns.
• Designed and Developed a website that recommends substitutions to individuals with dietary restrictions.
• Used Machine Learning to make clever substitutions for ingredients in original recipes.
• Developed motion-controlled game for the Fire OS and integrated Amazon GameCircle and Leaderboards for various categories.
• Ranked 3rd among 25 teams competing in the Amazon Global Intern Hackathon.
Please click here to view my Resume.
If you're curious about any of projects or would simply like to get in touch, please email me.