Introduction
Welcome to my website. This is my first time working with HTML and CSS. I also tried including
some Java Script too. This page is mostly to keep a record of my past and current works. I hope you like it. If you like
to collaborate with me on some project, give your suggestions, or even have a conversation with me, I would be very
happy to connect with you. The links to my social media accounts can be found on the Contact tab above.
P.S - I always enjoy having conversations on Linkedin 😉
Currently, I am ...
Right now, I am doing my internship in Algolabs from CMI. It is a very interesting Computer Vision project. I am assigned the task to build a deep learning model that takes in an image of an idol's statue, and identify the identity of that idol. The main challenge in this problem is that the idols can vary too much from each other, even for the same god's or goddess' idol. The differences will be in structure, geometry, differences due to idols carved by different artists, and even differences in interpretation of the same idol by different civilizations. Hence, it is not like the regular Facial Recognition task.
Some Random Thoughts
I am not sure what exactly to do after completing my masters. But I suppose that is mostly uncertain with everyone. So for now, I will keep it extemporay, depending on the situation. This field of Data Science is relatively new, and so the usual norms of either pursuing a career or going for a Ph.D would not exactly apply here. That would have been the case with subjects such as Engineering, Mathematics, Phycics, etc. which have been extensively ventured by others, and have set examples for the others for guidance.
With Data Science, I believe there is a huge overlap between research and application. Rather, they go side by side. Someone working in Machine Learning or Deep Learning is also required to have knowledge of the tools they are using, so that they can make appropriate decisions of which one to use in a given situation, and even customize them accordingly. So giving a particular task a title of industry application or research would be an over simplification.
Keeping all this in mind, it confuses many people in this field what to pursue for higher studies. Right now, it confuses me too. But this does not come as an obstacle for me. In fact, it can be seen as an opportunity, to get the best of both worlds. With the advancement of Data Science as a career, a set of new paths have become possible for the upcoming generation to follow. We cannot list them exhaustively, but they would be kept on being discovered, setting examples for the new generation, and even inspiring others to make their own.