Chan Kha Vu

The everyday AI engineer


I’m currently a software engineer at Microsoft. Previously, I worked as a computer vision engineer at Samsung Research in Ukraine, specializing in Computer Vision and Network Optimization for Mobile Devices. The background in Mathematics allows me to delve deeper into the theory behind Deep Learning.

On a side for fun, I travel to new places, tweet about AI, blog about stuffs I find exciting, paint, read (a lot of) Manga, and play Go (feel free to drop me a match invitation).


Oct 2019 - Now
Microsoft, Redmond WA
Software Developer Engineer
Feb 2017 - Oct 2019
Samsung Research, Ukraine
Research Computer Vision/AI Engineer
2017 - 2019
Taras Shevchenko National University
Master's degree in Applied Mathematics.
2013 - 2017
Taras Shevchenko National University
Bachelor's degree in Applied Mathematics


Diagnosing Breast Cancer by analyzing the Interphase Nuclei of the Buccal Epithelium: a Hybrid Approach (BS thesis, 2017)

Under the supervision of Prof. Klyushin Dmitrii, we provided significant improvements to the non-invasive, radiation-free approach on diagnosing Breast Cancer by Boroday et al. that analyses the optical density of the Interphase Nuclei of Buccal Epithelium. The proposed hybrid ensembling framework where CNN features are locally fused together with hand-crafted fractal/CV features allowed us to learn with limited amount of data.

Stuffs I find interesting — distilled knowledge from the noisy field of AI, presented in an clean, pleasantly beautiful, and interactive way.
Trivial Remarks — a beautiful mathematical blog by a prominent non-commutative algebraic geometer, in which very deep concepts are unfolded.