Dawid Laszuk
Staff AI Engineer at Osano
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolDawid Laszuk is a Staff AI Engineer based in Vancouver with a PhD in neuroscience and roughly 14–15 years of hands-on experience building full-stack AI solutions, primarily in Python. He blends deep academic expertise in signal processing and optimization with production-grade MLOps and GenAI platform leadership, most recently owning ML and GenAI platforms and driving AI Agents work at SailPoint before joining Osano. A pragmatic engineer and former founder, he built Agents Bar to scale deep reinforcement learning workflows and has repeatedly delivered high-availability ML systems at Amazon and beyond. His open-source work includes the PyEMD Python implementation of Empirical Mode Decomposition, reflecting a long-standing focus on data processing and signal decomposition techniques. Known for translating research ideas into reliable, scalable products, he pairs mathematical rigor with practical software engineering across the stack.
14 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience/Signal processing, Doctor of Philosophy (PhD) Neuroscience/Signal processing at University of ReadingDeep Reinforcment Learning, Deep Reinforcment Learning at UdacityMaster's degree Physics (Biomedical speciality), Master's degree Physics (Biomedical speciality) at University of Warsaw
Polish, English, Russian
Stackoverflow
1,890reputation
175kreached
39answers
26questions
Github Skills (14)
algorithms10
python10
signal-processing10
numpy9
time-series9
scipy8
amazon-sagemaker6
pytorch6
docker6
typescript6
python-dataclasses6
webpack6
matplotlib6
ubuntu6
Programming languages (16)
Github contributions (5)
laszukdawid/PyEMD
Aug 2016 - Dec 2022
Python implementation of Empirical Mode Decompoisition (EMD) method
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 releases, 15 reviews, 190 commits in 6 years 5 months
Contributions summary:Dawid primarily contributed to the initial implementation of an Empirical Mode Decomposition (EMD) method in Python. Their work involved adding multiple versions of the EMD algorithm, including adaptations for floating-point precision, as well as implementing an Empirical Ensemble Mode Decomposition (EEMD) class. The changes include code modifications in several Python files.
decompositionpythonbrain-computer-interfacepython-implementationmethod
laszukdawid/laszukdawid.github.io
May 2016 - Nov 2021
Contributions:15 pushes, 1 branch, 1 comment in 5 years 7 months
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