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Konrad WaszczukKW
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Konrad Waszczuk

@konradwaszczuk

Machine learning researcher at Wrocław University of Science and Technology developing C++ methods for black-box optimization.

Poland
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What I'm looking for

I’m looking for ML, Data Science, or optimization roles where strong algorithmic foundations meet production code.

At Wrocław University of Science and Technology, I research evolutionary methods for multi-structured and multi-objective black-box optimization. I design and benchmark linkage-learning genetic operators in modern C++, and I'm preparing a paper on Walsh-based surrogate models.

I’ve also built machine learning projects spanning feature-use analytics, face verification, and fetal health classification. In my CMA-ES Optimization Library project, I’m building a pip-installable C++ library with Python bindings, tests, and CI.

Experience

Work history, roles, and key accomplishments

WT
Current

Research Associate

Wrocław University of Science and Technology

Apr 2024 - Present (2 years 6 months)

Researching modern evolutionary methods (Linkage Learning) for multi-structured and multi-objective black-box optimization problems. Designing, implementing, and benchmarking linkage-learning genetic operators in modern C++.

AM

Computer Science Tutor

Ambitni

Sep 2022 - Jul 2026 (3 years 10 months)

Prepared high-school students for the national CS matura exam through individual and group sessions. Taught short courses on object-oriented programming in Java and algorithmics.

CO

Software Developer Intern

CODEFUSION

Sep 2025 - Sep 2025 (0 months)

Built an AI-powered communication system connecting dispatchers with delivery drivers using C# and .NET. Designed a PostgreSQL database schema supporting real-time messaging and package delivery tracking.

Education

Degrees, certifications, and relevant coursework

WT

Wrocław University of Science and Technology

MSc, Computer Science

2026 -

Pursuing an MSc in Computer Science with a specialization in Machine Learning, expected to graduate in 2027.

WT

Wrocław University of Science and Technology

BSc, Applied Computer Science

2022 - 2026

Grade: 5.0/5.0

Activities and societies: Rector's Academic Scholarship for top-performing students (three semesters); 3rd place in C++ Object-Oriented Programming Contest - Backbone Network Optimization; Bachelor thesis on evolutionary optimization algorithms, LLM and level design in computer game (Poly Bridge).

Graduated with a BSc in Applied Computer Science with distinction, achieving a GPA of 5.0/5.0.

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