I earned my Ph.D. in the field of machine learning and computer vision from the University of British Columbia, under the guidance of Jim Little and Mark Schmidt. Prior to this, I completed my M.Sc. in computer vision at UBC with Jim Little as my supervisor. My educational journey began with a B.Sc. degree in software engineering from AUT, which I received with honours.
Armed with a Ph.D. in machine learning, extensive knowledge of software and hardware systems, and experience building a global-scale SaaS business from the ground up, I offer comprehensive consultation at every stage of your project. From ideation and viability assessments to data collection planning, experimentation design, cost-effective and fault-tolerant software architecture design, and cloud (or in-house) deployment and maintenance, I am equipped to guide you through the entire process.
- AutoRetouch: Automatic Professional Face Retouching
(Oral Presentation)In WACV 2021.
- A Less Biased Evaluation of Out-of-distribution Sample Detectors
(Spotlight)In BMVC 2019.