Darin Sleiter
Senior Data Scientist
Greater Sydney Area Australia
Summary
👤
Senior🎓
Top SchoolDarin Sleiter is a Senior Data Scientist with 15+ years of applied ML experience, blending a Stanford Ph.D. in Physics with hands-on software engineering and startup leadership. He co-founded and led data science teams to productionize AI products—particularly for energy optimization and predictive maintenance—and now focuses on advancing brain-computer interfaces using deep learning and open-source neurodata tools. Comfortable across research and production, he develops novel models and the infrastructure to serve them at scale (Python, PyTorch/TensorFlow, cloud, MLflow), and has repeatedly helped small companies launch new AI offerings. Notably, his background in experimental quantum hardware and large-scale IoT systems gives him a rare combination of signal-processing rigor and production engineering discipline.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Stanford UniversityBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Princeton University
Portuguese, English
Github Skills (69)
data-format10
hdf10
hierarchical10
statistics9
api9
nwb9
near9
python9
rtm9
visualization9
reproducible-research9
hierarchical-data9
neuroimaging9
modeling9
open-science9
Programming languages (3)
Github contributions (5)
agencyenterprise/ndx-nirs
Apr 2021 - Jul 2022
An NWB extension for storing Near-Infrared Spectroscopy (NIRS) data
Contributions:3 releases, 25 reviews, 46 commits in 1 year 3 months
near-infrared-spectroscopynear-infraredinfrared-spectroscopystoringastronomy
agencyenterprise/hdmf
Nov 2020 - Jun 2021
The Hierarchical Data Modeling Framework
Contributions:2 PRs, 47 pushes, 21 branches in 7 months
modelingdata-modelinghierarchicalhierarchical-data
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