Contacts

Email: Taras.O.Ustyianovych@lpnu.ua
ORCID: 0000-0002-6323-7924
Google Scholar: Profile link
Scopus: Profile link

About Me

I am a Ph.D. student at the Department of Artificial Intelligence Systems at Lviv Polytechnic National University. My research interests include Data Science for Climate Change, Multimodal Data Processing, and Social Communications Analysis. I am always open to collaboration and cooperation in these areas.

My Ph.D. thesis focuses on multimodal data fusion for climate change modeling and social awareness improvement. I use artificial intelligence and data science to forecast physical climate indicators for specific regions and find the most optimal set of parameters to minimize the consequences of environmental issues. Another crucial area of my research is the study of tipping points that lead to significant shifts in social perception of climate problems. Further, I worked on a research project funded by the Canadian Institute of Ukrainian Studies on multi-task classification of data from instant messaging platforms in cooperation with the University of Alberta (Canada).

In addition to academia, I possess more than 5 years of industry experience across various domains (e-commerce, EdTech, FinTech) at EPAM Systems where I act as a Lead Software Engineer with strong expertise in data science, machine learning operations, and observability.

Please find out about my experience and achievements in the corresponding academic and industry CVs:

• Academic CV
• Industry CV

Selected Publications

• Data Science for Social Climate Change Modelling: Emerging Technologies Review (Ustyianovych, Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies 2024) [Q2]

• Intelligent Academic Specialties Selection in Higher Education for Ukrainian Entrants: A Recommendation System (Fedushko, Ustyianovych, & Syerov, Journal of Intelligence 2022) [Q2]

• E-Commerce Customers Behavior Research Using Cohort Analysis: A Case Study of COVID-19 (Fedushko & Ustyianovych, Journal of Open Innovation: Technology, Market, and Complexity 2022) [Q1]

• Predicting Pupil’s Successfulness Factors Using Machine Learning Algorithms and Mathematical Modelling Methods (Fedushko & Ustyianovych, Advances in Computer Science for Engineering and Education II 2019)

• Medical card data imputation and patient psychological and behavioral profile construction (Fedushko, Gregus, & Ustyianovych, Procedia Computer Science 2019) [Q2]

Conference Proceedings

• Instant Messaging Platforms News Multi-Task Classification for Stance, Sentiment, and Discrimination Detection (Ustyianovych & Barbosa, UNLP 2024)

• Computational Breakthroughs in Aquatic Taxonomy: The Role of Deep Learning and DNA Barcoding (Kasianchuk, Harkava, Onishchenko, Solodka, Shyshko, Siemens, Falfushynska, & Ustyianovych, ACIIT 2024)

• Ransomware Prevention System Design based on File Symbolic Linking Honeypots (Zhuravchak, Ustyianovych, Dudykevych, Venny, & Ruda, IDAACS 2021)

• Dynamic Topic Modelling of Online Discussions on the Russian War in Ukraine (Ustyianovych, Kasianchuk, Falfushynska, Fedushko, & Siemens, ACIIT 2023)

• Identification and Modeling of Historiographic Data in the Content of Web Forums (Khymytsia, Ustyianovych, & Dronyuk, COAPSN 2019)

Non-Academic publications

• Site Reliability and SLA/SLO/SLIs (Article in a tech blog of the Ukrainian Web-Forum for IT Developers DOU 2020)
• Machine Learning Operations and Monitoring (Article in a tech blog of the Ukrainian Web-Forum for IT Developers DOU 2022)
• Machine Learning as an Assitant for Disinformation Detection(Article in a tech blog of the Ukrainian Web-Forum for IT Developers DOU 2024)

Industry Experience

EPAM Systems, Lead Software Engineer

• Period: April, 2019 - Now
• Responsibilities: Development of end-to-end ML/AI-based solutions with a team of 5-10 people by Scrum. Coordinate Databricks ML certifications program and provide supervision to Trainee/Junior Data Scientists and ML Engineers. Engaged in a number of social volunteering projects. Actively participate in pre-sales and consultations sessions.
• Achievements: Successful delivery of 5+ projects with average project duration ~1 year. In 2020 contributed to the development of a Master’s Degree program in Software Engineering at the National University of “Kyiv-Mohyla Academy”. Have obtained the EPAM IMPACT CEO Awards twice (in 2023 and 2024).

Certifications

• Databricks Machine Learning Professional

• Validity: September 2023 - September 2025

• Microsoft Azure Data Scientist Associate

• Validity: March 2021 - March 2025

• AWS Certified Machine Learning – Specialty
• Validity: December 2021 - December 2024

Volunteering

Lviv Polytechnic National University

• Technical mentor on a AI for Disinformation, Drones, and Security Hackathon. The team I mentored became the 2nd out of 10 teams in the final rating with the developed solution. June 2024.

Ukrainian Catholic University

• Invited lecturer for an course on natural language processing. Delivered two lectures and workshops on topic modeling and language models. November 2023 & November 2024

EPAM Systems

• Python trainer for a class of teenagers at the eKids program. February-March 2020.