Thanks for visiting my website.

I am a Research Assistant at Video Analytics Lab, IISc Bangalore. I received my  B.E. (Hons.) in Computer Science from BITS Pilani in 2019. My research interests lie in the field of Deep Learning and Artificial Intelligence, and I have been fortunate to work with some of the best professors and scientists in India.


[July 2019] Received my Bachelor of Engineering (with Honors) in Computer Science, at 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 brief about my 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 intelligence using mathematical tools and computation. Working on a variety of problems in AI helped me understand the complexity of such a machine and left me even more curious to venture into this field.

Over the years, I have been fortunate to work with some of the best professors and scientists in India, on various domains in Artificial Intelligence and Deep Learning methods. I ventured in Computer Vision with a project under Dr. Dhiraj Sangwan (Scientist, CEERI Pilani), on Threat Detection in X-Ray Images of Baggage using deep learning. Later, under the guidance of Prof. Santanu Chaudhury (now Director, IIT Jodhpur) I worked on Real-time Face Spoof Detection in RGB cameras. Recently, I submitted my thesis in Unsupervised Deep Learning, proposing a state-of-the-art pipeline for Domain Adaptation.

I have also worked on using Deep Learning in Brain Computer Interfaces, under Prof. Vandana Agarwal (Asst. Prof., BITS Pilani), where I proposed an LSTM & Band Power Estimation based neural network architecture that was more robust to noise in detecting mental confusion in a student watching MOOC videos.

Apart from this, I have done 2 summer internships. In 2017, I worked at CSIR-CEERI Chennai, on the Driver Fatigue Detection project under Dr. Bala Pesala (Principal Scientist), where I developed a heart rate monitoring wearable based on Bluno Beetle. During summer 2018 at Samsung Research, I worked on Intimacy Estimation for a Social Robo, under Dr. Pinaki Bhaskar, involving the analysis of human behavior through vision and natural language understanding.

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

Recent advancements in AI have brought significant developments to various fields and I wish to contribute to this wave. In the long run, I want to work on various problems over several disciplines that can help make discoveries & advance the field of AI in this direction. Here’s a naive but a positive note:

Creativity is something that nature has designed into us. Designing it on a computer is all that is required.

Have a nice day!


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