Software Engineer | AI | ML Inference | Computer Vision
My broad interests:
- ML model Inference and Performance Optimisation
- Computer Vision; Camera; Imaging
I’m currently studying Advanced Computer Vision courses at the Princeton University under Prof. Jia Deng and Prof. Olga Russakovsky. I’m enrolled as a Masters in Computer Science at the Rutgers University [Graduating in May 2023].
I carry 3 years of work experience shipping AI based sofware solutions. I recently interned at Nvidia where I worked on the Inference pipeline of a Speech model. Previously, I worked with Samsung R&D Institute and Flipart Inc. to ship Camera-Imaging and Speech solutions respectively.
|Sep 2, 2022||Advanced Computer Vision at Princeton University|
|May 20, 2022||Nvidia Internship - Deep Learning Inference Performance S/W Engineer|
|Jun 7, 2020||Global patent - A novel technique & application for slow motion based videos & images.|
|Nov 20, 2019||Paper - “Deep Demosaicing using ResNet-Bottlenect architecture”|
|Feb 20, 2019||Professional software coding competency across Samsung R&D centers.|
|Mar 12, 2018||Winner, ExxonMobil Hackathon - rule compliant logo detection & geotagging. PPT|
|Feb 20, 2017||Undergraduate research thesis at the University of Melbourne, Australia|
|Feb 20, 2014||Merit certificate in Mathematics.|