Worked on the following: - Deployed scalable code to production- Created custom models with high accuracy and low latency- Found new ways of doing analysis on image-based data - Created synthetic data for increased accuracy.- Implemented an active learning pipeline.

I was a part of the HEC Funded Research Lab where I conducted research on surveillance applications via Machine learning and Deep learning. During my time at the lab, I worked on 3D Neural Networks, handled Multimodal Datasets, and achieved AUC -79 on suspicious activity recognition and Video classification. Furthermore, I also got a chance to work on deploying models on mobile and edge devices such as Raspberry Pi and Android.

I worked with R&D (Research & Development) team on multiple projects that were centered around Deep learning.