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I am a Research Assistant at Video Analytics Lab, IISc Bangalore, advised by Prof. R. Venkatesh Babu. I received my  B. E. (with Honors) in Computer Science from BITS Pilani in 2019. My research interests lie in the field of Artificial Intelligence (specifically Deep Learning methods) and at present I’m exploring the intersection of Knowledge Representation, Distillation and Adaptation in Computer Vision. In the past, I have been fortunate to work with some of the brightest minds in India at BITS Pilani, CSIR-CEERI & Samsung Research.


[July 2019] Received my B. E. (with Honors) in Computer Science, from Birla Institute of Technology and Science at Pilani.

[June 2019] Attended the 3rd workshop on Brain, Computation and Learning hosted at IISc, Bangalore.

[June 2019] I have joined Video Analytics Lab, IISc as a Research Assistant.

[May 2019] Submitted my undergraduate thesis on the topic “Unsupervised Domain Adaptation: An Online Learning Scenario”.

[January 2019] Pursuing my undergraduate thesis under Prof. Venkatesh Babu, IISc.

A summary of my past work

While doing my major in Computer Science, I pursued Graphic Designing as a hobby. As much as I liked flowing my creativity through digital artworks, my study in theoretical computer science elevated my curiosity to know if I could inculcate this creativity into a computer. I took courses in the field of AI to learn how to formalize this creativity using mathematical tools and computation. Working on a variety of problems in AI helped me understand the complexity of such a machine and led me to venture into this field.

Over the years, I have been fortunate to work with some of the best professors and scientists in India. I ventured into Computer Vision with a project under Dr. Dhiraj Sangwan, on Baggage Threat Detection using deep learning. Later, under the guidance of Prof. Santanu Chaudhury I worked on Real-time Face Spoof Detection in RGB cameras. I pursued an internship at Samsung Research, where I worked on Improving the Conversational AI of a Social Robo, under the mentorship of Dr. Pinaki Bhaskar. I have also explored the domain of Signal Processing. During my internship at CEERI, Chennai, I worked under the guidance of Dr. Bala Pesala on building an Arduino based wearable sensor and a smartphone app for Detecting Fatigue in Drivers using PPG signals. Later, supervised by Prof. Vandana Agarwal, I studied the problem of Detecting Mental Confusion using EEG signals.

These experiences equipped me to lead the AI Subsystem of Sally Robotics – BITS Pilani’s first Driverless Car research group. For details, here’s my work experience and the projects I’ve worked in the past.

Other Interests

When I’m not working, I usually find myself practicing Carnatic Vocal Music and playing the Venu (Carnatic Flute). I’m a huge fan of Sandbox & Open world games (especially Minecraft!).

Long-term Vision

While, recent advancements in AI have brought significant developments to various fields, even today there are much more challenging problems at a global scale which are less explored by the AI community. Climate Change, for instance, requires an immediate attention from every individual, and calls for a judicious use of environmental friendly resources. Applications of AI to such problems (for eg. predicting the carbon emission of a city if each household wakes up early in the morning) can bring forth huge leaps in a safe future for humanity. In this view, I wish to progress in a direction which can contribute to solving such global scale problems. Here’s a naive but a positive note:

Creativity is something that nature has designed into us. Be creative enough to design it on a computer, and it will do the rest for you.

Have a nice day!