Avinash Kappa

I'm a researcher in the field of Deep Learning which I believe has got the potential to change how technology can further make human lives better. And I believe we are in exciting times to be part of technology, bright days for those who are willing to tinker, research and try things. I feel driven to be part of the community that is building brilliant things to solve essential human problems. My area of interest is using Deep Learning for Computer Vision.
As part of my research on face processing, I started reading through existing papers for face decomposition and reconstruction. Face recognition isn't just about the visible facial features. It is much more complex and it took a lot of learning. It was a great learning experience as I got to know a lot of new things(there is a lot of Physics that is involved in Face Recognition and Reconstruction). The best takeaway I would say from working on this project is that, given the dedication and few weeks of time, we can surely surprise ourselves by doing so much that we never thought of doing in less than a month's time. Trying something practically, transfering an idea into a solution surely offers a lot of learning, which itself feels like success.
I want to be part of this hackathon where I spend time along with other hackers to use the ideas and skills I have to build a solution. Even more importantly, I believe it is a great chance to collaborate, share, meet other people.

I was part of InOut last year and I absolutely loved the experience. Here's a blog I published detailing my experience -

https://towardsdatascience.com/inout-learnings-from-2-day-hackathon-6d1196410298