Jan Szałaśny

Contact Information

Bio

I am a graduate student at the Warsaw University of Life Sciences with academic interests in machine learning, data analysis, computer vision, and sound engineering. My work focuses on building scalable data pipelines and applying modern machine learning techniques to complex real-world problems, particularly in the area of audio and image processing.

This website is intentionally designed as a tribute to the simplicity of traditional academic websites, focusing on clarity, accessibility, and minimalism rather than visual complexity.

You can also find me on LinkedIn or GitHub.

Research Interests

Sound engineering
Machine Learning
Data Analysis
Computer Vision
Ada (programming language)

Education

Warsaw University of Life Sciences: Master's degree
- Specialization: Big Data Analysis
- Designed and implemented scalable AWS data pipelines to process large audio datasets for bird species recognition, ensuring reproducibility and efficiency. Applied Python and SQL for feature engineering, data cleaning, and transformation of structured and unstructured datasets, supporting machine learning workflows. Built datasets for model training, validation, and deployment, emphasizing automation, performance optimization, and cross-tool integration. Gained hands-on experience with cloud infrastructure, IaC practices, and scalable ML workflows, aligning research processes with production-oriented standards.
Warsaw University of Life Sciences: Bachelor's degree
- Specialization: Informatics and Econometrics
- Gained a strong theoretical foundation in mathematics, statistics, and econometrics, with emphasis on probability theory, linear algebra, and statistical modeling. Developed analytical skills in data analysis and quantitative research methods, forming the basis for advanced machine learning and data-driven problem solving.