Волчок

AI engineer

Age:
30 years
City:
Other countries

Contact information

The job seeker has entered a phone number , email and LinkedIn.

Name, contacts and photo are only available to registered employers. To access the candidates' personal information, log in as an employer or sign up.

Work experience

AI engineer

from 05.2022 to now (4 years 4 months)
B&S, Groningen (Оптова торгівля, дистрибуція, імпорт, експорт)

* Developed AI agents and multi-agent systems in Python using LLMs, OpenAI API, RAG, and GraphRAG to automate business processes and enable enterprise knowledge search.
* Designed agentic workflows and LLM orchestration, integrating Knowledge Graphs (Neo4j, Cypher), web search, enterprise data, external APIs, and business tools.
* Built a production-ready GraphRAG pipeline featuring a custom multi-level hierarchical parser (regex-based hierarchical parsing), semantic chunking, LLM-based entity extraction, Knowledge Graph construction, and graph-based retrieval.
* Designed LLM pipelines, prompt engineering, function calling, and structured JSON outputs, optimizing retrieval quality while reducing token consumption.
* Integrated OpenAI API into enterprise AI applications and workflow automation solutions.
* Developed ETL pipelines and Python tools for data transformation, validation (Data Quality), and integration across SQL Server, Snowflake, and external data sources.
* Built advanced web scraping solutions with HTML parsing, automated data enrichment, and bot detection bypass to support AI agents and knowledge ingestion.
* Designed statistical algorithms for feature engineering, interpolation, and Gaussian smoothing to improve forecasting model input quality.
* Developed a statistical Packaging Material Attribution Engine capable of estimating packaging composition and weight for hundreds of thousands of products using heterogeneous enterprise datasets.
* Designed Data Quality algorithms for anomaly detection, consistency validation, and statistical analysis, and developed scalable SQL Server databases, stored procedures, and data integration pipelines.

Tech Stack

Python • AI Agents • Multi-Agent Systems • LLM • OpenAI API • RAG • GraphRAG • Prompt Engineering • LLM Orchestration • Function Calling • Knowledge Graphs • Neo4j • Cypher • SQL • T-SQL • SQL Server • SSMS • Snowflake • ETL • Data Integration • Data Quality • Pandas • NumPy • Machine Learning • Statistical Analysis • Feature Engineering • Forecasting • Web Scraping • HTML Parsing • Regex • JSON • REST API • Power BI • Excel • Git

Education

Rijksuniversiteit Groningen

FEB, Groningen
Higher, from 2018 to 2021 (3 years)

Knowledge and skills

  • OpenAI
  • Multiagentic
  • Agentic system
  • Graph database
  • GraphRAG
  • Parsing
  • Rag
  • Teaching English for IT
  • SSMS
  • MS Power BI
  • MS Excel
  • T-SQL
  • Marketing analysis
  • Business analysis
  • ML
  • AI prompting
  • AI engineering
  • IBM SPSS Statistics
  • Sales forecasting
  • Data analysis
  • Llm agents
  • VS Code
  • Python
  • MS SQL Server
  • SQL
  • Працьовитість
  • Оптимізація бізнес-процесів
  • Неконфліктність
  • Адаптивність
  • Користувач ERP-системи
  • Постановка задач
  • Дисциплінованість
  • Чесність
  • Доброзичливість
  • Здатність до навчання
  • AI literacy
  • Embeddings
  • Claude API

Language proficiencies

  • English — fluent
  • Ukrainian — fluent
  • Dutch — average

More resumes of this candidate

Similar candidates

All similar candidates

Candidates at categories


Compare your requirements and salary with other companies' jobs: