My broad interests:
- ML model Inference and Performance Optimisation
- Computer Vision; Camera; Imaging
I carry 3 years of work experience shipping AI based sofware solutions. I’m enrolled as a Masters in Computer Science at the Rutgers University [Graduating in May 2023] and currently working as an AI Research Assistant at the Abraira Lab on a video classification project.
Last summer I interned at Nvidia as a Deep Learning Performance Engineer to develop a highly optimised Inference pipeline of RNN-T Speech model for MLPerf-Inference benchmark. 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; Prof. Jia and Prof. Olga.|
|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.|