राजवीर सिंह राजपूत

What I'm good at:

• machine learning (Keras and Tensorflow)
• iOS programming (Swift)
• computer vision (OpenCV)
• backend stuff (Python, C++, node.js etc.)
• and photography!

Some projects I've worked on:

• Questo AI (2016- Present) - A smart iOS app which generates quizzes based on a photo of a textbook.
• Photonify (2017) - An iOS app which tells you how to take better photos in real time
• Hequals (2017) - An automatic human resource allocator which aims to eliminate any form of discrimination in the tech world by basing decisions purely on skills. Global Overall Winner of Codeathon 2017 .
• InstaPopular (2017) - Fun little SciKit implementation of a ML algorithm which tells you who of your instagram friends are the most popular in real life.
• Komme (2015) - A virtual navigation game to find ways to get to a certain location only through Google Streetview - made with js.

Achievements and Experiences:

• ML Research Intern at Digital Nature Group at Univ. of Tsukuba under Prof Ochyai where I did research on voxel generation from two-dimentional images using adversial networks.
• Paid internship at Mercari's AI team, where I built an object detection and classification model for users to discover items they could sell in their room. Did various research in the performance of edge computing models.(2018 June - July)
• iOS intern at teamLab when I was 15. I was involved in the architecture design and the actual development of iOS apps for big-name companies in Japan, introduced and integrated Redux as a primary framework for all of teamLab's upcoming iOS projects. Was the youngest employee there.
• Organiser of IDEA Hacks 2017, did 101s on Keras and Swift for the participants. Mentored iOS development.
• Won $40,000 of prizes for the "Most Creative" prize at Startup Weekend - the most prestegious hackathon in SG.
• Winner of PitchIT Competition at SG Fintech Festival 2016
• Won ideaHacks 2016 with Questo.

Some things I enjoy: