Experience

Internships

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

  • Worked on “Intimacy Estimation for a Social Robo”
  • Applied Deep Learning in Computer Vision and Natural Language Processing to analyze user behaviour
  • Built head pose estimation and nod detection models to identify user’s interest in a conversation with the bot
  • Trained an NLP model to detect Self Disclosure from conversations
  • Used these features to improve “Intimacy” between the Human and 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

Unsupervised Deep Learning, Video Analytics Lab, IISc Bangalore
Jan 2019 – Present | Mentor: Prof. R. Venkatesh Babu

  • Pursuing my undergraduate thesis in unsupervised deep learning with applications to Knowledge Distillation and 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

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

  • Taught elementary computer science concepts to middle school & high school students
  • Conducted hands on programming sessions in C++, Python & HTML/CSS at PRC

 

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

Advertisements