Dawid Ziniewicz — Software & AI Engineer

01 / ABOUT

Engineering at the QA × AI frontier

I'm a Software Engineer based in Kraków, Poland, with a background in Biomedical Engineering and four years of hands-on experience in test automation across telecom-grade systems at Nokia and Motorola Solutions.

My focus today sits where quality assurance meets artificial intelligence — engineering intelligent agents that analyze customer-reported defects, recommend test cases, and optimize the entire bug-fixing lifecycle.

I work fluently with Deep Learning, Large Language Models and Generative AI, and I'm AI_Devs certified in building LLM-powered applications.

4+

YEARS EXPERIENCE

3

LANGUAGES SPOKEN

∞

CURIOSITY

02 / EXPERIENCE

Where I've built things

2025.02 — present
● NOW

Software Engineer · Test Automation

Motorola Solutions Systems, Kraków

Spearheaded an AI agent project analyzing customer-reported defects and automatically recommending the most effective manual test cases — optimizing the bug-fixing lifecycle.
Developed and optimized automated black-box test scripts in Python & Groovy to analyze large datasets and validate system stability.
Engineered internal productivity tools in Python to streamline daily workflows and boost team efficiency.
Applied deep learning techniques to improve data analysis within the internal testing application.
Collaborated in an Agile/SCRUM environment using JIRA and GIT.

2022.07 — 2025.02

Software Engineer · Test Automation (Robot Framework)

Nokia Solutions and Networks, Kraków

Developed and executed new automated test cases for the L3 LTE layer, ensuring full compliance with 3GPP protocol standards.
Designed and implemented Jenkins CI/CD pipelines to automate black-box test execution with rapid feedback loops.
Built and maintained C++ and Python testing libraries for eNB (Evolved Node B) simulators.
Conducted rigorous automated black-box testing on NR/LTE technologies.
Explored emerging tech — including 6G and LLMs — to improve future test strategies.

2019.10 — 2023.02

B.Sc. Biomedical Engineering

AGH University of Kraków

Thesis: Developed a Deep Learning model for the classification of Optical Coherence Tomography (OCT) images using Python.
Implemented neural network architectures and performed advanced data preprocessing on complex biomedical imaging data.

03 / STACK

Tools & technologies

Languages

PythonC / C++ElixirGroovyMatlab

AI / ML

Deep LearningLLMsOpenAI APILangChainRAGPrompt Eng.

Testing & Automation

Robot FrameworkPytestSeleniumPlaywrightJenkins CI/CDBlack-box

Telecom

LTE / NR3GPPeNB sim.

Tooling & DevOps

GITGitLabGitHubJenkinsLabVIEW

Platforms

LinuxWindowsmacOS3D Modeling

◆ CERTIFICATE · 2026

AI_Devs 4 — Generative AI & LLMs in production

Intensive course on integrating Generative AI and LLMs into real applications: the OpenAI API, LangChain, Retrieval-Augmented Generation (RAG) and Prompt Engineering. The foundation behind the intelligent agents I build today.

AI_devs4 COURSE COMPLETED

Verify credential ↗