Kacper
Dobrowolski

AI Automation Specialist. RPA, ML & Workflow Automation (LLMOps).

Location
Lublin, Lublin Voivodeship, Poland
Languages
Polish (native), English (fluent), German (intermediate)
GitHub
github.com/dvvbk
LinkedIn
linkedin.com/in/kacper-dobrowolski
Download CV (PDF, Polish)Message me on LinkedIn

Summary

AI automation and cloud engineering specialist combining a technical background in Computer Science with economic analytics. Hands-on experience deploying commercial computer vision systems, integrating large language models (LLM/MCP), and automating business processes and data flows (RPA/LLMOps). I build conversational interfaces to data and optimize processes using cloud computing.

Experience

  1. – present

    AI Automation Specialist — RPA, ML & Workflow Automation (LLMOps)

    Industrial Cortex

    • Designing and deploying advanced automations built on machine learning and RPA systems.
    • Managing the full model lifecycle and optimizing data processing.

  2. – present

    Software Developer

    Cognitum

    • Building and developing commercial software in Python, C#, TypeScript and Java.
    • Working in agile teams, integrating external systems, and refactoring and optimizing source code.

  3. – present

    Cloud Engineer

    The Hyperlabs

    • Designing, deploying and maintaining reliable cloud infrastructure on Google Cloud Run, Azure and AWS.
    • Designing and deploying relational and non-relational database schemas.

  4. – present

    Machine Learning Specialist

    Industrial Cortex

    • Developing and deploying production computer vision systems, including real-time automated detection of container damage (dents, cracks, corrosion, seal damage) in seaports.
    • Coordinating engineering tasks and managing technical documentation in JIRA.

Projects and research

Talking with Data: LLM as an Interface for the Local Data Bank GUS BDL

Talk at the 2nd International Scientific Conference “Numbers, People, Space – an interdisciplinary approach to contemporary challenges in the data era” (University of Rzeszów).

An implementation using the Model Context Protocol (MCP) to create a natural-language conversational interface that removes the need to export statistical data manually.

  • MCP
  • LLM
  • GUS BDL

ICX: Automated Container Damage Detection

An automated visual inspection system for seaports that streamlines logistics operations. Built in line with international regulations and industry standards, including the CSC Convention, ISO 6346 and the IMDG Code.

  • Computer Vision
  • ISO 6346
  • CSC

Logistics AI Agent: Self-Service & API Orchestration

A self-service chatbot that automates shipment management. Using a Tool Use and Function Calling architecture, the agent handles natural-language requests, queries system APIs for status and routing in real time, and updates order details (delivery address, pickup time windows) with full authorization.

  • Tool Use
  • Function Calling
  • API

Skills

AI & Machine Learning
Machine Learning, Computer Vision, MLOps, LLMs, Model Context Protocol (MCP), Generative AI integration
Programming & data
Python, C#, TypeScript, SQL, Data pipelines, API design, Economic data analysis
Cloud & DevOps
Google Cloud Run, AWS, Azure, Docker, Workflow Automation, Git
Tools & methods
JIRA, RPA, Agile/Scrum, Technical project management, Documentation and compliance analysis

Education

  • 2023 – 2027

    Bachelor of Engineering, Computer Science

    University of Entrepreneurship and Administration in Lublin (WSPA)

  • 2024 – 2027

    Bachelor’s degree, Economic Analytics

    Maria Curie-Skłodowska University in Lublin

Certificates

  • AI in Business Development, GoogleID: c952e434-5efe-4665-a484-a3d70a973251
    Sep 2025
  • SPSS Technology Expert, IBM
    Jan 2025
  • Cybersecurity Lubman, Maria Curie-Skłodowska University in Lublin
    Dec 2024
  • ECDL B4 Spreadsheet, Polish Information Processing SocietyID: ehm2su7bx2
    Aug 2019
  • ECDL S3 IT Security, Polish Information Processing SocietyID: ehm2su7bx2
    Aug 2019
  • ECDL S1 Database, Polish Information Processing SocietyID: ehm2su7bx2
    Aug 2018