Speakers

Mohamed-Achref Maiza
Mohamed-Achref Maiza
Senior Data Scientist, RenaultOptimizing and deploying a multi-label classifier in production

Business track

Language: English.

Mohamed-Achref has a background in computer science and engineering. He has been working on deep learning applications for car diagnostic and visual quality control.

The talk would deep dive into technical aspects such as loss optimization strategies, mathematical properties, satisficing metrics, hyper-parameter tuning, ML pipeline components in detail, application for car diagnostic and image classification with neural networks.

Mohamed-Achref Maiza
Senior Data Scientist, RenaultOptimizing and deploying a multi-label classifier in production
Borys_Pratsiuk
Borys Pratsiuk
CTO, ScalarrML models in production. Installation and configuration

Technical track

Language: Ukrainian.

Borys graduated from the Chair of Physical and Biomedical Electronics of the KPI with honors in 2007 on the specialty “Physical and Biomedical Electronics”. He defended his dissertation at the Faculty of Electronics in the KPI in 2012.

Borys works CTO at Scalarr. And also has his startup – Fino (financial assistant).

He will tell why ML model training is not the main task for model deployment to production.
Also go through the Kubeflow setup and pipelines maintain.
And he will show a real case of how it changes the philosophy of ML team and how they write more standard code for production deployment.

Borys Pratsiuk
CTO, ScalarrML models in production. Installation and configuration
Obiednikov
Aleksandr Obednikov
Head of Cloud Research, Ring Ukraine15 tattoos of a CV engineer and manager

Business track

Language: English.

Alexander has sufficient experience in the field of sound and computer vision, classical machine learning, particularly deep learning. Alexander used to teach machine learning in LITS Kharkiv and held workshops at CS@UCU, KWSchool on Data Analysis.

There is a book «45 tattoos of a manager» from M. Batyrev. This great book consists of 45 stories, 45 lessons learned, 45 «tattoos» of a manager. Alexandr say that he is not Maxim Batyrev, and identify himself with a CV Engineer more than with Project Manager. That's why he is going to have only 15 tattoos. 15 tattoos of Computer Vision engineer and Computer Vision department lead.

His talk will consist of 15 stories about how to build a great product based on computer vision, data, production, overfitting, SDLC, QA, etc.

Aleksandr Obednikov
Head of Cloud Research, Ring Ukraine15 tattoos of a CV engineer and manager
Vladislav-Zavadskyy
Vladislav Zavadskyy
Head of Research, NeoRenderAnimable Neural 3D Models

Technical track

Language: Ukrainian.

Vladislav studied at the KPI at the Faculty of Informatics and Computer Engineering, where he defended a diploma about Neural Architecture Search based on Reinforcement Learning.
He’s currently working on creating efficient neural representations of scalar fields. On previous projects, he worked on Computer Vision problems (mostly generative models), NLP and time series analysis.

Today meshes are used ubiquitously to represent 3D shapes. They’ve been around for a long time and several optimizations have been developed to rasterize them efficiently. However, they still have a few drawbacks which limit their possible applications.

NeoRender is a company, which strives to create a new way to represent 3D shapes, which will be free of such drawbacks. On this talk, you’ll get a glimpse of what NeoRender doing on the example of a rigged (animable) 3D model of humans call SMPL. You will learn how to convert textured 3D meshes to neural network representations, which then can be used to approximate physical interactions efficiently and also rendered in a variety of poses.

Vladislav Zavadskyy
Head of Research, NeoRenderAnimable Neural 3D Models
Raid Arfua
Senior Machine Learning Engineer, SoftConstructObject tracking system using multiple NNs with an application in Sports

Technical track

Language: Ukrainian.

ML Engineer with a wide range of expertise in data science engineering who participated in Recommendation Systems, Computer Vision, Big Data projects. Holds two master degrees in Theory of Probability and Mathematical Statistics, and Economics. Has a highly positive attitude towards applying ML and Data Science in the most suitable way. He has a lot of interests in Sciences, Philosophy, Sports, and combines it in everyday work.

Tracking objects in Sports requires specific complex solutions: how to combine multiple NNs in one modular system to solve different tasks like object detection, classification, clusterization, etc. How to incorporate domain knowledge to increase the accuracy of tracking. Which classical video processing methods allow improving tracking. How to test separated modules and systems in general. Examples of video from football games will be presented.

Raid Arfua
Senior Machine Learning Engineer, SoftConstructObject tracking system using multiple NNs with an application in Sports
Guts
Yuriy Guts
Machine Learning Engineer, DataRobotPanel Discussion 'Simplify the World with AI'

Panel Discussion

Language: Ukrainian.

Yuriy Guts is a Machine Learning Engineer at DataRobot with over 10 years of industry experience in data science and software architecture. His primary interests are productionalizing data science, automated machine learning, time series forecasting, and processing spoken and written language. He teaches AI and ML at UCU, competes on Kaggle, and has led multiple international data science and engineering teams.

Yuriy Guts
Machine Learning Engineer, DataRobotPanel Discussion 'Simplify the World with AI'

Hosts

Daniel Che
Comandante, Che – Guerrilla Marketing

Daniel Che
Comandante, Che – Guerrilla Marketing
Jane Klepa
Executive director, 1991 Open Data Incubator

Jane Klepa
Executive director, 1991 Open Data Incubator