Position: (Machine Learning|Computer Vision) Engineer, Data Scientist
Category: Data Science
English level: upper
Years of experience: 2.5

Developed and deployed document verification service with quality comparable to SOTA paid APIs.
Designed solution for clothes transfer.
Fozzy group R&D Temabit
Computer Vision Engineer
Worked on Smart Cart project. Analyzed competitors' solutions to learn their mistakes and advantages.
Researched and tested the newest deep metric algorithms for retail product classification with a huge number of classes and only a few examples per class.
Tested different mechanisms of barcode recognition for hard cases. Prepared datasets for data segmentation with a semi-supervised method.

eCommerce startup Mod-y
Data scientist & Co-Founder
Designed solution for clothes transfer from one photo to another. Analyzed business needs to define the appropriate strategy for end-to-end algorithm development. Implemented demo for potential investors.
Researched and adopted different 3d open-source solutions: smpl human restoration, pix2surf, clothes generation. Worked with Blender API for 3d rendering. Deployed and trained advanced generative neural networks for clothes transfer: pix2pix hd, vitonhd.
Developed and deployed auxiliary tools. Trained and evaluated neural networks for clothes segmentation, human parsing using PSPNet, U2net, M-RCNN architectures. Deployed and adopted open-source pose detection.
Trained, improved and deployed cutting-edge superresolution model SR-3 to upscale photos from 256x256 to 1024x1024.
Developed algorithm for accurate background change using auxiliary tools (background matting, openpose) to geometrically properly put humans from one scene to another.
Analуzed different ways to deploy service backend on AWS. Deployed services using EC2 instances, S3 buckets and Lambda functions.
Researched and implemented optimization techniques to speed up service inference and reduce costs: quantization and OpenVino runtime to significantly speed up models on CPU.

Fintech product company
Junior Machine Learning Engineer
Maintained, developed and improved facesearch service. Developed and deployed 3d face alignment detection and 2d face aligner. Designed and deployed mechanism for detection of percent of the closed face on customers photos. Collected statistics to understand the influence of different data corruptions and noise on face search algorithm.
Trained and tested CNNs(plenty of SOTA classifiers) for documents. Trained and evaluated model(PSPNet) for document segmentation. Used Bayes CNN to filter inappropriate data. Developed mechanism to align documents on photos and make them scan-like...
Can't describe more due to characters limit
I'd like to work on interesting and challenging tasks that will give me opportunity to  improve my proficiency. I want to become part of  a high-skilled team to learn from them and I'm opened to share my experience. I'm searching for vacancies on Computer Vision, NLP or robotics. Mostly I have experience in Computer Vision but I'm open for little bit lower offers in NLP.