Igor Sieradzki
AI Research Scientist at Synerise
Cracow Metropolitan Area Poland
Summary
👤
Senior🎓
Top SchoolIgor Sieradzki is an AI research scientist with 12 years of experience combining academic rigor and industry impact in continual learning, explainable AI, computer vision, and cheminformatics. He holds an MCA and completed a PhD candidacy while contributing research at Jagiellonian University, with internships at Edinburgh and Universitat Autònoma de Barcelona focused on deep learning for Go value estimation and continual learning. Currently at Synerise and still active in research at Jagiellonian, he blends hands-on engineering—advanced Python, PyTorch, TensorFlow, Docker, and SLURM—with a track record of workshops and ICLR/TFML presentations. Beyond papers, he teaches core ML and neural networks courses and runs practical workshops, signaling a talent for translating complex research into approachable learning. An interesting thread through his career is applying generative and recursive representation insights to real-world problems like drug candidate simulation and lifelong learning systems.
12 years of coding experience
Master of Computer Applications (MCA), Informatics, Master of Computer Applications (MCA), Informatics at Jagiellonian University
Polish, English, German
Github Skills (11)
r-package10
jupyter-notebook9
gaussian-mixture-models9
ensemble-learning8
python7
machine-learning7
wandb4
hydra4
pytorch-lightning3
dvc3
pytorch3
Programming languages (3)
Github contributions (5)
gmum/seminars
Oct 2016 - Sep 2018
Group Seminar Notebooks
Contributions:150 commits, 1 PR, 71 pushes in 1 year 10 months
pythonjupyter-notebookmachine-learningnotebooksseminar
gmum/python-lecture
Feb 2015 - Jan 2018
Contributions:14 pushes, 1 branch in 2 years 11 months
materiapythonpython3programowanie
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