• MSc Computer Engineering student specializing in AI systems in medicine
• 2+ years of industry experience in AI/ML, software development, DevOps and web technologies
• Published student research (ISW 2025) on deep learning for honeycomb frame classification
• Passionate about applied machine learning, automation and data pipelines
• Working 24–30h/week during semesters and full‑time during summers

Languages: Python, JavaScript, Bash
ML/AI: PyTorch, sklearn, NumPy, Pandas, SciPy
MLOps / Tools: Kedro, FastAPI, Grafana + Loki, GitLab CI/CD, Azure
Web: Next.js, React, Flask
Other: SQL, LangGraph, GCP, Coolify

• Developing a pattern‑recognition tool to improve log analysis and troubleshooting
• Contributing to an internal code‑generation tool for front‑end applications
• Proposed graph‑based test optimization concepts scheduled for future development
• Tech: Kedro, Python, Docker, Grafana, Loki, Pandas, Bash, sklearn, LangGraph

• Built a Computer Vision prototype for rat detection
• Developed and maintained websites using Next.js
• Supported Embedded Team with internal tools
• Managed and configured Google Cloud Platform
• Tech: Python, JavaScript, GCP, Pandas, sklearn, LangGraph, Next.js

• Coordinated IT team and organizational infrastructure
• Developed and maintained websites using Next.js
• Deployed new organization webserver using Coolify
• Tech: Python, JavaScript, Next.js, Traeffic, Coolify, Docker

M.Sc. Computer Engineering, Spec. IT Systems in Medicine
02/2025 – 06/2026

• Machine learning for biological and medical data
• Python-based tools for feature extraction and data preparation

B.Eng. Information and Communication Technology
09/2021 – 02/2025

• Engineering thesis using Deep Learning for honeycomb frame classification
• Published in ISW 2025 proceedings

Deep learning classifier detecting honey presence and capping patterns in bee frames
Repo: https://github.com/jakubiwaszkiewcz/engineering-work
Tech: Python, NumPy, PyTorch, sklearn, Next.js, Flask

Prototype for automated honeycomb uncapping using image processing
Repo: https://github.com/jakubiwaszkiewcz/masters-thesis
Tech: Python, Kedro, Pandas, PyTorch, sklearn

• Azure Fundamentals (AZ‑900)
• CCNA: Introduction to Networks

• Team coordination
• Public speaking
• Agile methodologies
• Host meeting

• Polish — Native
• English — B2
• German — A1

📧 kkuba.iwaszkiewicz@gmail.com