Internships
1. Samsung Research, Bangalore
May 2018 – Present | 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
- Used Facebook’s Infersent to get sentence embedding and trained a model to detect Self Disclosure
- Used these features to improve “Intimacy” between the Human and Robot
2. Central Electronics Engineering Research Institute, Chennai
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
1. Spoof Detection, CSIR-CEERI Pilani
May 2018 – Present | Mentor: Prof. Santanu Chaudhury
- Implemented stable face detection using Haar Cascades
- Trained MobileNet model on the NUAA dataset and achieved 80%+ precision and recall on the test set.
- Trained MobileNet on self-collected data which achieved less than 6% false acceptance rate on imposter detection in NUAA dataset
2. Deep Learning for Brain Computer Interfaces, BITS Pilani
Jan 2018 – Present | 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.
3. Threat Detection in Baggages using X-Ray Images, CSIR-CEERI
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 CNN (Alexnet)
4. Advanced Data Analytics and Parallel Technologies lab, BITS Pilani
Aug 2017 – Dec 2017 | Mentor: Prof. Navneet Goel
- Studied Concurrent and Distributed Data Structures
- Parallelized algorithms using MPI and OpenMP in C++
Positions Held
1. AI Team Lead, Sally Robotics
Jul 2018 – Present | Center for Robotics and Intelligent Systems, BITS Pilani
- Sally Robotics is an Intelligent Mobility Research Team at CRIS, BITS Pilani
- Leading the AI subsystem with research focus on Autonomous Motion Control
2. Design Chair, ACM-BITS Pilani
Mar 2017 – Mar 2018 | BITS Pilani
- ACM – BITS Pilani won the best student chapter awards for the last 3 years
- Lead the design team, building the front end for Checkmate 2017 – an interactive quizzing game
3. Chief Design Officer, Conquest 2017
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
4. Co-Founder & Programming Lead, SoftSol
Aug 2016 – Aug 2017 | Mount Carmel School, New Delhi
- SoftSol was established as the computer club of the school
- Lead the programming division brought accolades to the school
Associations
1. AI Subsystem, Sally Robotics
Jul 2018 – Present
2. Core Team Member, Center for Entrepreneurial Leadership (CEL), BITS Pilani
Feb 2016 – Present
3. Core Team Member, ACM BITS Pilani
Feb 2016 – Present
4. Core Team Member & Design Associate, Aarohan 2016
Aug 2015 – Aug 2016
5. Teaching Volunteer, NSS – Computer Literacy Programme
Aug 2015 – Dec 2015
6. Member, Model United Nations, Mount Carmel School
Apr 2013 – Apr 2014
7. Member & Vocalist, Indian Music Choir, Mount Carmel School
Apr 2005 – Apr 2014
