Nilay Shrivastava

I am good at embedded programming and Machine Learning. The thing that drives me when I compete at a hackathon is the urge to develop intelligent but decentralised systems. This requires me to create machine learning applications that can run on computationally constrained environments like an Arduino or Web Browser.
The most complicated project I worked on was to create a music composer for differently abled people. We used pose estimation in Tensorflow.js. I learned how to run web-workers in order to make my application efficient and more user-friendly.
I think what sets me apart from other candidates is that I don't focus on hacking up a demo rather I believe in making a useful product at a hackathon.