- Undergraduate Machine Learning Intern, Intel, June 2018 - July 2018
- Extensive research study on efficient semantic segmentation with a goal to devise a method for real-time segmentation for autonomous driving applications.
- Trained latest semantic segmentation models for comparison with existing state-of-the-art models using PyTorch and Tensorflow on new datasets like Berkeley Deep Drive and Indian Driving Dataset.
- Undergraduate researcher, CVIT at IIIT-H, May 2017 - May 2019
- Involved in multiple research and development projects mentored by Prof. C.V. Jawahar, ranging from an online portal for accurate annotation of videos to a full-fledged research project that resulted in a research paper.
- Close collaboration with industry experts as well as PhD and Masters students, leading to experience in deep learning, computer vision and team-based projects.
- Software Development Intern, Froogal May 2017 - August 2017
- Built a mobile app from scratch for their web-based services using React Native, Fetch API and Android Studio.
- Currently live on the respective app stores with more than 10,000 downloads.
