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Kasjan Śmigielski

AWS ML Engineer & Data Scientist

Kasjan Śmigielski AWS Certified Machine Learning Engineer Associate

About Me

I am an AI Engineer and Data Scientist specializing in designing intelligent data-driven systems — from data analysis and EDA, through Machine Learning and Computer Vision models, to production-grade LLM architectures and RAG systems. I combine engineering experience from industry with modern AI technologies, building solutions that: - solve real business and research problems, - are scalable and production-ready, - connect AI with solid software engineering.

My Professional Journey

In 2019, I graduated with a degree in Mechatronics from Wrocław University of Science and Technology. Over the following years, I worked as an engineer in the manufacturing industry, where quality and process data played a crucial role in optimizing processes and decision-making. Working with real industrial data: - sparked my interest in data analysis, - taught me systems thinking, - showed me the importance of data quality and business context. The natural step was to transition towards Data Science and AI.

Current Focus

I completed the Data Scientist track and started systematically building a portfolio of projects covering:

  • exploratory data analysis (EDA),
  • analytical applications in Streamlit,
  • Machine Learning and Deep Learning systems,
  • solutions based on LLMs and semantic search.

I currently work on projects in:

  • Machine Learning and Deep Learning
  • Computer Vision
  • LLM integration and RAG
  • AI in production environments

I hold the AWS Machine Learning Engineer – Associate certification, confirming my competencies in designing and deploying ML solutions in the cloud.

🎓 Teaching & Mentoring

Since January 2025, I have been a Student Success Manager at Gotoit, where I mentor a Data Science course. I conduct weekly live sessions where we expand knowledge in data and AI.

Additionally, I teach and conduct workshops for:

  • Data Science course participants — Python, SQL, EDA, Machine Learning, Deep Learning
  • High school students (IT profile) — practical AI applications
  • Teachers and pedagogical staff — responsible and practical use of AI

My teaching philosophy focuses on understanding, not memorization, real cases instead of artificial datasets, and critical thinking about AI rather than hype.

I have also created dedicated resources for my students:

📚 Academic Activity

In March 2025, I started master's studies in Artificial Intelligence and Machine Learning. My master's thesis focuses on: - applying computer vision, - analyzing object behaviors in video material, - using ML and DL algorithms in biomedical research. The project is carried out in collaboration with the Medical University of Wrocław.

About This Portfolio

Here you will find many projects I have been working on recently: from domain exploration (EDA) on ready-made datasets, through creating Streamlit applications allowing you to browse data in a simple way, and ending with AI-powered and Machine Learning-based applications to find patterns invisible at first glance. I encourage you to visit here regularly — I intend to expand my portfolio with new ideas on an ongoing basis.