Minimum Viable Resume

I am open to ambitious challenges combining AI with the end-user experience.

I would happily consider industries such as medtech, biotech, and user-centric AI. Ideal roles include Data Science Tech Lead, Head of AI, Technical Product Manager, and CTO.

In the meantime, I am open to consulting and project-based work.

Feel free to contact me at pmigdal@gmail.com and connect on LinkedIn. See also my PDF resume.

A few highlights

• Virtual Lab has been nominated for the 27th Webby Awards in the Science category, among OpenAI and NASA.
• Developed livelossplot, a popular Python library for visualizing deep learning model training, with over 2M installations.
• Created Data Science PL, the largest data science community in Poland with over 20k members.
• Alumnus of the renowned MIT Research Science Institute and recipient of the bronze medal in the International Physics Olympiad.
• 20+ of my projects and posts have been featured on the Hacker News front page.
• My research publications span a wide range of disciplines from quantum physics to mathematical psychology, educational games, and data visualization.

Recent experience

• 2025-now Founding engineer Quesma
  Creating charts with AI.
  • Building Grafana dashboards with AI, CLI and a bit of pragmatism •
  Python, TypeScript, ggplot2, Grafana, OpenRouter
• 2023-2025 AI consultant self-employed
  Bridging the gap between AI and user experience. Recent projects include AI in medical diagnosis, creating wellness assistants, designing data flow for game asset generation, and serving as tech lead for a conversational AI startup.
  • Can AI diagnose mental conditions within a single conversation? •
  Python, PyTorch, TypeScript, OpenAI
• 2019-2022 co-founder & CTO Quantum Flytrap
  A startup making quantum easy for business - by developing a quantum computing IDE.
  • Interviewed by Shaping the Future of Computing • Closing and a summary •
  Basecamp, Linear.app, TypeScript, Vue, Rust
• 2020-2021 AI researcher ECC Games
  Deep learning models for simulating racing car physics & unsupervised image segmentation.
  • Level generation and style enhancement - deep learning for game development overview, arXiv:2107.07397 •
  Python, PyTorch
• 2015-2019 machine and deep learning consulting self-employed
  Selected clients: deepsense.ai, Intel, Nielsen, Samsung Research, and BCG.
  • Thinking in tensors, writing in PyTorch •
  Python, Jupyter Notebook, Scikit Learn, PyTorch, Keras
• 2014-2015 data science and data viz freelancing self-employed
  Selected clients: Data4Cure, Startup Compass, Laboratorium EE.
  Python, Pandas, NumPy, SciPy, JavaScript, D3.js
• 2011-2014 PhD in quantum optics theory ICFO - The Institute of Photonic Sciences
  Advisors: Maciej Lewenstein, Javier Rodriguez-Laguna; reviewers: Seth Lloyd (MIT), Karol Życzkowski (UJ).
  • Thesis: "Symmetries and self-similarity of many-body wavefunctions" arXiv:2107.07397 •
  Mathematica, LaTeX, Python