Work Experience

————————————————————-
Research Intern, Adobe MDSR, Noida
May'20 - Jul'20
Worked on image generation in FewShot and limited data regimes.
————————————————————-
Research Intern, Adobe MDSR, Noida
May'19 - Jul'19
Worked on improving few-shot classification performance. Our proposed method S2M2 beats the current state-of-the-art accuracy on standard few-shot learning datasets like CIFAR-FS, CUB and mini-ImageNet by 3-8%.

Work accepted at IEEE WACV 2020 Conference.
————————————————————-
Computer Vision Intern, Redpine Signals, Hyderabad
Jan'19 - Apr'19
Literature survey on multiple/collective activity recognition papers. Implementation of activity/helmet recognition models on customized datasets.
————————————————————-
Full Stack Developer, Startup, IIT Hyderabad
Feb'19 - Jan'19
This endeavour aims to build a news aggregation based social platform application that would read out news to users by allowing them to choose voice as well as language of their choice. Among other features we would deliver personalized news, short news summaries and a platform for users to interact and express their views regarding the same.
————————————————————-
Android Developer, IIT Bombay
May'18 - Jul'18
Created an app to receive raw EEG data from hardware using Bluetooth services then filtering it using signal filters and displaying eight independent graphs (each graph for one channel) .
————————————————————-

Reviewing Experience

————————————————————-
Reviewer, WACV 2020
reviewed 3 conference papers.
————————————————————-
Sub-reviewer, ICML 2020
reviewed 1 conference papers.
————————————————————-
Sub-reviewer, ECCV 2020
reviewed 2 conference paper.
————————————————————-
Sub-reviewer, IEEE TNNS 2020
reviewed 1 journal paper.
————————————————————-