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Nice to meet you, I'm Michal 👋

Welcome to my profile!

I graduated from Biomedical and Electrical Engineering at McMaster University in 2020. Since then, I've developed a deep passion for AI/ML and data science, and I've been concentrating on learning as much as I can about this exciting and extensive space. I'm particularly interested in leveraging the power of AI for social good in a variety of fields, including healthcare, environmental sciences, and public policy. Feel free to reach out if you share any of these interests and would like to collaborate on a project, competition, or start-up!

Also, connect with me if you'd like to share book suggestions (science fiction, Japanese classics, detective/mystery), discuss movies (Tarkovsky, Kubrick, Kon), chat about music (listening and performing), and exchange fitness tips (bodybuilding, powerlifting) 😊

What I'm currently working on:

Implementing semantic segmentation for colonoscopies, completing my first Kaggle competition, learning about software engineering best practices... 💭

Connect with me on Linkedin or Kaggle!

Linkedin: roztockm Kaggle Badge

Michal Roztocki's Projects

clinhacks2021 icon clinhacks2021

An app that suggests different levels of state restrictions depending on your goal (minimize COVID cases or minimize impact on elective surgeries), based on an analysis of data from the US.

digital-library icon digital-library

The purpose of this application is to provide a number of helpful tools to create and maintain a record of your physical and digital books as well as an aesthetic and easy-to-use reading list.

hands-on-sample-api icon hands-on-sample-api

An updated version of the original publication. Used during a hands-on workshop. A sample API service written in Go that uses a backend Redis server

ml-zoomcamp icon ml-zoomcamp

Course taught by Alexey Grigorev from Data Talks Club

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mlops-zoomcamp icon mlops-zoomcamp

Weekly Assignments for MLOps course taught by Alexey Grigorev from Data Talks Club.

pc-gaming-library-aggregator icon pc-gaming-library-aggregator

The purpose of this application is to combine data from your Steam, Epic Games, and GOG accounts and offer a wider range of tools and incorporated third-party API's to analyze and visualize this data than currently offered by GOG Galaxy.

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