Experience

Internships

Samsung Research, Bangaloresamsung-r-and-d-institute-india-squarelogo-1535345464542
May 2018 – Jul 2018 | Mentor: Dr. Pinaki Bhaskar

  • Worked on the problem of “Improving conversation skills of a social robot”
  • Applied Deep Learning in Computer Vision and Natural Language Processing to generate a knowledge base of user’s preferences
  • Used these features to improve the conversation of the robot

Central Electronics Engineering Research Institute, Chennai Dr Bala Pesala – Profile
May 2017 – Jul 2017 | Mentor: Dr. Bala Pesala

  • Worked on “Detecting fatigue in car drivers using non-invasive methods”
  • Designed and developed a blood pulse monitoring wearable device using Bluno Beetle and PPG sensors
  • Developed an Android app with a multi-threaded architecture for realtime communication with the wearable device (github)
  • Implemented efficient buffers for high-speed data transfer between the Android App and the wearable device
Research Experience

Efficient methods to Generalizing Deep Neural Networks, Video Analytics Lab, IISc Bangalore
Jan 2019 – Present | Mentor: Prof. R. Venkatesh Babu

  • Pursued my undergraduate thesis on Unsupervised Deep Learning with applications in Knowledge Distillation and Domain Adaptation
  • Published multiple papers in the domains of Adversarial Robustness and Unsupervised Domain Adaptation

Spoof Detection, CSIR-CEERI Pilani | Project PageCSIR-career
Aug 2018 – Dec 2018 | Mentor: Prof. Santanu Chaudhury

  • Implemented a stable face tracking using Haar Cascades & ROI thresholding
  • Trained MobileNet on self-collected face spoof data which achieved less than 6% false acceptance rate on imposter detection in NUAA dataset
  • Extracted motion-robust remote PPG signals from single RGB webcam for living skin detection
  • Recreated RGB images from Hyperspectral images with applications to PPG signal generation

Deep Learning for Brain-Computer Interfaces, BITS PilaniImage result for bits pilani logo
Jan 2018 – May 2018 | Mentor: Prof. Vandana Agarwal

  • Explored the EEG Confusion Dataset to identify learner’s confusion in MOOC videos
  • Compared various classification methods such as like SVM, K-Nearest Neighbor, Gaussian Naive Bayes
  • Built an end-to-end Deep Learning pipeline using features from Band Power Estimation and LSTM, and trained a model that achieves much higher accuracy than those achieved previously on the dataset.

Threat Detection in Baggages using X-Ray Images, CSIR-CEERICSIR-career
Aug 2017 – Dec 2017 | Mentor: Dr. Dhiraj Sangwan

  • Primary study on detection of harmful objects (such as knives, bombs etc.) from X-Ray images of baggages
  • Implemented a bag-of-words model with sparse KNN classification
  • Trained and achieved better detection accuracy with a combination of CNN & SVM

Advanced Data Analytics and Parallel Technologies lab, BITS Pilani Image result for bits pilani logo
Aug 2017 – Dec 2017 | Mentor: Prof. Navneet Goel

  • Studied Concurrent and Distributed Data Structures
  • Parallelized algorithms using MPI and OpenMP in C++
Positions Held

AI Team Lead, Sally Robotics sally
Jul 2018 – Dec 2018 | Center for Robotics and Intelligent Systems

  • Sally Robotics is an Intelligent Mobility Research Team at CRIS, BITS Pilani
  • Leading the AI subsystem with research focus on Autonomous Motion Control using Deep Learning

Design Chair, ACM-BITS Pilani Image result for bitsacm
Mar 2017 – Mar 2018 | BITS Pilani

  • BITSACM won the best student chapter awards for 3 consecutive years
  • Lead the design team, building the front end for Checkmate 2017 – an interactive quizzing game

Chief Design Officer, Conquest 2017 Image result for conquest 2018 bits pilani
Aug 2016 – Aug 2017 | India

  • Conquest is India’s first student run start-up launchpad, organized by Center for Entrepreneurial Leadership (CEL), BITS Pilani
  • Designed the branding for Conquest and CEL & was responsible for effective online campaigns to increase outreach

Co-Founder & Programming Lead, SoftSol mcs.png
Aug 2013 – Jul 2014 | Mount Carmel School, New Delhi

  • SoftSol was established as the computer club of the school
  • Lead the programming division brought accolades to the school
Service

Peer Reviewer, Pattern Recognition (Elsevier) Journal, 2020

Pre-Conference Volunteer, Eighth International Conference on Learning Representations (ICLR), 2020
Virtual Conference

Peer Reviewer, 7th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2019
Hubli, India

Teaching Volunteer, NSS – Computer Literacy Programme
Aug 2015 – Dec 2015 | India

  • Taught elementary computer science concepts to underpriviledged middle-school & high-school students
  • Conducted hands-on programming sessions in C++, Python & HTML/CSS at Pilani Resource Center
Associations

AI Subsystem Lead, Sally Robotics
Jul 2018 – Dec 2018

Core Team Member, Center for Entrepreneurial Leadership (CEL), BITS Pilani
Feb 2016 – Present

Core Team Member, ACM BITS Pilani
Feb 2016 – Present

Core Team Member & Design Associate, Aarohan 2016
Aug 2015 – Aug 2016

Teaching Volunteer, NSS – Computer Literacy Programme
Aug 2015 – Dec 2015

Member, Model United Nations, Mount Carmel School
Apr 2013 – Apr 2014

Member & Vocalist, Indian Music Choir, Mount Carmel School
Apr 2005 – Apr 2014