Vasyl Lyashkevych, ML Solutions Architect @GlobalLogic 

PhD in Computer Science with over 15 years experience working in Artificial Intelligence with Machine Learning. Can build efficient innovative solutions with poorly formalized initial requirements, invent new conceptions or algorithms resolving the AI problems in different subject domains. Computer Vision, Natural Language Understanding, Intellectual Agents, Visual self-taught search services and Quantum ML are the main directions for working and investigations. The most interesting results and achievements were represented in over 30 conferences, 70 scientific publications and one patent.

Orest Varha, Solution Architect, Technology, Consultant@GlobalLogic

Highly skilled Architect with 20+ years of experience in a set of domains (multimedia, automotive, machine learning, computer vision).

Anton Ovchar Backend developer @Genesis

Anton Ovchar has been in Genesis team for almost 3 years (2,9) as Backend developer
Anton worked  as a Python developer in a Data Science team. Helped to integrate DS solutions into the main site. He is currently working as a Node.js developer , writing a backend for the site and services related to it.

NoSQL Databases
What is a NoSQL database and how can it be useful?
Where and how are NoSQL databases used?
What problems can be solved with NoSQL?

Yurii Malna, Data Scientist @ ELEKS

Skilled Data Scientist with 3+ years of professional experience. I'm passionate about the data and how it's changing our everyday life. Hands-on experience in full life-cycle of model development: from prototyping to deployment (R, Python). 

Hanna Kaplun, QA Lead @ Intellias

Test Engineering Lead at Intellias

We'll discuss what data is usually stored in noSQL DBMS in comparison with the traditional relational options, how an app can have more than one DBMS and why this decision was made. Also, there will be a quick overview of advantages and disadvantages of noSQL and SQL DBMS and a few example queries to the data stored in relational and the corresponding non-relational view. I can also share a few tip and tricks on data testing if anyone's interested.

Roman Karpiuk, CSOC Tier 3 Analyst @ SoftServe

Our center defense external and internal company’s perimeters from different cyber attacks\threats.
Anomaly detection use cases. For example, detect brute force, anomaly failed logins, anomaly IDS tiger, anomaly malware distribution, excessive email sending, etc

Petro Venherskyi, CSOC Specialist @ IFNUL

It is interesting to investigate incidents, to track various types of vulnerabilities and threats, to conduct testing for the penetration of computer systems. I am improving as an instructor at the CISCO Network Academy.
The Machine Learning Toolkit (MLTK) enables users to create, validate, manage, and operationalize machine learning models through a guided user interface.
MLTK provides step-by-step walk-throughs on how to set up an instance of the platform, ingest data, perform searches, save and share reports, and create dashboards.

Sofiia Petryshyn, Data Scientist @ Avenga

Iryna Zakharchenko, Data Scientist @ Avenga

Kulyk Petro Ruslanovych, Java, Kotlin developer @ IFNUL

Assistant of the System Design Department, Faculty of Electronics and Computer Technology ,

The range of interests includes non-relational databases, Big Data, personal knowledge system and neural networks. I have been working on development and maintenance of Public Domain Software for desktop personal computers for four years.

Jonas Szalanczi,CEO and Co-Founder@NeuroForge

Working as a remote by design AI startup – challenges, introductions, working environments. Covid-19 had no impact on us. Why digitalization is the future.

As the head of NeuroForge, Jonas Szalanczi stands for innovation, new technologies and is responsible for the operational business. He oversees the projects from a logistical point of view and is responsible for your contact with NeuroForge.

Nicolas Hilberg, Head of AI and Co-Founder@NeuroForge

Machine Learning: From test datasets to real life world problems

Is the chief technology officer behind all artificial intelligence at NeuroForge. As a computer scientist and AI expert, he leads the development of internal and external AI-projects with all customers at NeuroForge.

Anton Popov, Associate professor @Igor Sykorsky Kyiv Polytechnic Institute

He is a lecturer for the courses “Theory of signals”, “Biomedical Electronic Systems”, “Machine Learning and signal processing in biomedical systems”. He also holds a position of AI/Deep Learning Technical Lead in Ciklum (UK). Anton is an IEEE Senior Member and a member of IEEE Engineering in Medicine and Biology Society since 2001. Anton Popov authored 150 publications in peer-reviewed journals and conference proceedings and supervised more than 60 bachelors, masters, and PhD students.

His research interests include applications of signal processing methods to the analysis and interpretation of biomedical signals and images. Currently, his group works on methods for epileptic seizure management based on electroencephalograms and cardiorythmograms, techniques for quantification of cognitive workload and emotions, recognition of imaginary movements, muscle synergies detection, stabilography, as well as other biosignals and medical images for diagnosis of diseases and evaluating the human physical conditions.

Viacheslav Osaulenko, Junior research fellow@Igor Sikorsky Kyiv Polytechnic Institute

Specialization in computational neuroscience, neural computation, and association memory models.

Roman Mysiuk, Software Test Automation Engineer @EPAM,IFNUL

I have been working as an automation IT quality engineer for almost three years. Almost all the time I have experience with search engines based on non-relational databases. Therefore, we should consider using them in artificial intelligence from a theoretical point of view.
We will consider the following topics:
Why are non-relational databases so popular today?
What non-relational databases are often used?
How is the data presented in such databases (JSON, XML)?
What are databases used for in artificial intelligence?

Oleh Kaskun, Data Engineer @SoftServe,IFNUL

I have been working as a data engineer in Zilliant Inc. Also, I'm an Assistant in the System Design Department, Faculty of Electronics and Computer Technology. Mostly I work with big data, AWS tools, visualization of data(Tableau) and sometimes I'm using Python to automate manual work. In my free time play the violin with the National Chamber Orchestra of Ivan Franko National University of Lviv.
We will consider the following topics:
- Python my first coding language
- How to work with files (TXT, JSON, XML)
- Data visualizations modules(matplotlib, plotly,...)

Vasyl Kyshnir Software developer @Justanswer,IFNUL

As a software developer at Justanswer we work with a lot of technologies like: backend(dotnet core, mvc4, python flask), Frontend(react, vanilla js), ELK, NLP stuff(chatscript, python tools like: scikit-learn, keras, tf, etc). As a hobby I'm using:  relational(postgresql, mariadb, sql server) and non-relational(berkeleydb, mongodb, redis, neo4j, orientdb) databases.

Max Yablonskyi, Marketing Manager@indeema

Internet of Things: What it is? How it works? And why do you need to know more about technology that will change the way we live?
What is the IoT and how it works?
Main industries for the IoT
Advantages and disadvantages of the IoT
Ukrainian IoT Startups
IoT Device demostration
Future of the IoT

Max Kmet, Data Scientist@Grid Dynamcis

Data Science, Using Augmented Reality in Interior & Property Design: How Did We Live Without It?

We will demonstrate how Computer Vision toolset helps to build a system which is able to produce a visualization of a room within a new design given a photo of your room and a texture of desired wallpaper

Ivan Lasiichuk, BigData Engineer@Grid Dynamcis

Big Data, Role of Big Data Engineer

“Brief introduction to Big Data”
- Personal story: path to position of Big Data Engineer
- Big Data: challenges, tasks and tools
- BigData internship at Grid Dynamics

Sevil Smailova, Data Scientist@Grid Dynamcis

Data Science, Using Augmented Reality in Interior & Property Design: How Did We Live Without It?

We will demonstrate how Computer Vision toolset helps to build a system which is able to produce a visualization of a room within a new design given a photo of your room and a texture of desired wallpaper

Igor Luzhanskiy - Co-owner@Chatbots.Studio

We have been working in business process automation since 2016. We are engaged in developing chatbots with artificial intelligence and dialog design for Viber, Telegram, Slack, etc. In addition to that, we have released an educational course "How to Efficiently Run AI Project Development?" and the book AI Project Development Methodology, which are available on Chatbots.Studio

Bohdan Buhrienko - CompetencyLead, BA-automation@Chatbots.Studio

In the company I hold the position of Automation Business Analyst, Competency Lead. I develop bots and services on the Node-RED platform, collect requirements and analyze them, write technical tasks and specifications, communicate with the developers and customers
I have several years of experience in developing on various low-code platforms such as Corezoid and Node-RED.

Solomiya Kubinska, Automation Business Analyst@Chatbots.Studio

My responsibilities include:
Typical BA work: communication with customers and the team; collection, analysis, structuring and description of requirements; maintaining project documentation.
Low-code developer work: modeling and integration of business processes with the help of Node-RED, Cognigy platforms. Working with NLP: offering NLP solutions to customers, creating an architecture and further integration of selected NLP systems.