Landmark Lens is an iOS app. Take photos in crowded places. Landmark Lens removes people, cars, and moving objects. Use a tripod, make a stand, or lean your phone against something. Press start and the app does the rest. Get the perfect shot of a landmark without any pesky tourists in it. No getting up at sunrise or waiting forever for all of the people to leave.
Aleksey worked with two other collaborators to bring the app to market. Aleksey contributed in image processing research, product management, and limited production code.
Hailsense is NGRAIN's new AI-driven hail damage assessment product. We use machine learning to size and count hail dents in 3D scans of hail damaged vehicles in order to create accurate, objective, and consistent repair estimates.
Hailsense is a web application with an AWS back-end for heavy lifting.
Aleksey led the machine learning research effort, faces the customer and leads development as Product Manager, and writes production code when necessary.
Technologies: 3D Triangular Meshes, Python, XGBoost, Theano/Lasagne, AWS, Django, 3D Scanners
NIPS 2017 Adversarial Images Challenge
Aleksey participated in the 2017 NIPS Competition Track Adversarial Images Challenge has hosted on Kaggle. After winning $1,000 Google Cloud Platform credits by finishing 1st in the first defense development round, he teamed up with Ross Wightman for additional submissoins. Together they placed gold in all three competitions, finishing 5th, 9th, and 9th.
In 2012-2014 Aleksey did some extensive analysis of the publicly available Ontario "Sunshine List". A public disclosure of the salaries of the best paid public workers in Ontario. His work was referenced in both the National Post and in the CBC.
For all of the blog articles written during that period, click here.