Contact information

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Work experience

AI engineer

from 09.2023 to 04.2025 (1 year 8 months)
Askflow AI, Дистанційно (IT)

Developed all AI functionality and features for the Askflow AI product.

AI engineer

from 09.2023 to 03.2025 (1 year 7 months)
Fourmeta Agency, Дистанційно (IT)

Designed LLM-based quiz-generation tool with API. Developed several interactive chatbots for instagram and other services.

System analyst

from 03.2021 to 10.2022 (1 year 8 months)
Maxify, Дистанційно (IT)

- Developed tools for dynamic pricing simulations and KPIs evaluation.
- Designed new solutions for fixing the overprice problem and increasing plan completeness.
- Improved performance of Maxify real estate dynamic pricing product.
- Developed tool for automated real estate income plan correction based on sales amount.

Data scientist

from 02.2021 to 06.2022 (1 year 5 months)
M4U, Київ (IT)

- Designed interior classifier for quality assessment based on photographs.
- Improved price calculation methods used in P/ARC(Mappy) product
- Developed prototype ASR system for sales managers performance assessments.

Education

Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine

Computer Science, Київ
Higher, from 2022 to 2026 (4 years)

I’m currently studying for a PhD at Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine. Theme of the PhD thesis: “Automation of Cognitive Modeling of Solutions: A Meta-Heuristic Approach to Adaptive Generation and Validation of Iterative Prompt Architectures for Solving Non-Trivial Problems.”

Taras Shevchenko National University of Kyiv

Faculty of Computer Science and Cybernetics, Specialty: "artificial intelligence", Київ
Higher, from 2017 to 2019 (2 years)

Theme of the master's thesis : “Generation of coherent text using recurrent neural networks”.

Kyiv National Economics University

Faculty of Information Systems and Technologies, Specialty: "economic cybernetics", Київ
Higher, from 2013 to 2017 (4 years)

Theme of the thesis: "Application of fractal geometry in modeling of economic systems".

Knowledge and skills

• Flutter
• PyTest
• Regular expressions
• Data visualization
• Робота з OCR-системою
• Sales forecasting
• NumPy
• Pandas
• Keras
• OpenCV
• JSON
• Creation of chat bots
• LaTeX
• Prolog
• C++
• Flask
• FastAPI
• Web Scraping
• Data preprocessing
• Work with a large amount of information
• AI prompting
• Llm agents
• LangChain
• Rag
• VS Code
• MS Azure
• AWS
• Computer vision
• Writing academic articles
• Application of artificial intelligence
• Knowledge of NLP techniques
• Machine learning
• PyTorch
• Python
• Docker
• GitHub
• Знання принципів ООП
• SQL
• HTML
• Бажання вчитися і розвиватися
• MS Excel
• MS Power BI
• MySQL
• PostgreSQL
• Здатність до навчання
• TensorFlow
• Zapier
• MATLAB
• Kubernetes
• XGBoost

Language proficiencies

• English — above average
• Ukrainian — fluent

Additional information

Accomplishments:
- Designed and implemented web scraping and data acquisition pipelines for structured and unstructured web data, including parsing, cleaning, and integration into ML workflows.
- Applied statistical analysis, clustering, dimensionality reduction, and time-series forecasting for analytical and decision-support tasks.
- Developed and evaluated rule-based algorithmic trading strategies, applying time-series analysis, statistical indicators, and automated decision logic.
- Developed end-to-end computer vision pipelines, from dataset collection and annotation to OCR-based document analysis and fine-tuning of image classification models.
- Implemented ASR and speech-processing pipelines for speech-to-text and audio data analysis (Vosk, Kaldi).
- Worked with Knowledge Graphs, ER modeling, and graph algorithms, including entity resolution (Senzing, Aleph) and graph-based reasoning.
- Conducted scientific research in NLP and LLM-driven taxonomy construction, including rank-based and iterative prompt frameworks.
- Applied prompt engineering and meta-prompting techniques to improve reliability, controllability, and evaluation of LLM-driven systems.
- Built RAG-based e-commerce chatbots operating on product catalogs and merchant data via vector databases and structured context injection.
- Designed and implemented LLM-powered quiz generation systems at Askflow AI, enabling dynamic, product-aware quizzes using RAG and prompt orchestration.
- Designed and maintained ML experimentation and deployment pipelines, supporting reproducible training, evaluation, and deployment (Docker, MLflow, ZenML).
- Used no-code automation and AI-assisted development tools to rapidly prototype, integrate, and iterate on AI systems and workflows (n8n, Zapier, Make, Cursor, Warp).
- Partnered with product and engineering teams to design and deliver practical AI solutions from abstract requirements.
- Has the capability to rapidly acquire and apply expertise in new ML and AI problem domains.

Desired roles:
NLP Engineer / LLM Engineer / Applied Research Engineer / Computer Scientist

What I am looking for:
- Work on meaningful, non-trivial problems where AI systems deliver real value rather than superficial automation.
- Projects involving LLMs, Knowledge Graphs, RAG systems, GNNs, or hybrid symbolic–neural approaches.
- Opportunities to grow simultaneously as a researcher and an engineer, bridging theory, experimentation, and production systems.
- Tasks that emphasize thinking, modeling, and system design, rather than prompt wrapping or API glue code.
- Environments that value engineering rigor, interpretability, and long-term system quality.
- Collaboration with strong technical teams, research groups, or product teams building intelligent systems at scale.

Preferred focus areas:
- Information Extraction, NER, Question Answering, Summarization
- LLM-based agents, reasoning, and tool-augmented systems
- Knowledge Graphs, structured representations, explainable AI
- Multi-modal NLP and Vision–Language systems