Thanks for visiting my website.

I am a Research Assistant at Video Analytics Lab, IISc Bangalore. I received my  B. E. (with Honors) in Computer Science from BITS Pilani in 2019. My current research interests lie in the field of Artificial Intelligence (specifically Deep Learning methods) and currently I’m working on Knowledge Representation 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 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 into 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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