Laser Kaplan
Principal Data Scientist
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolLaser Kaplan is a Principal Data Scientist with 11 years of experience building ML-driven products and scalable data systems, currently focused on integrating AI into automotive software and EV analytics. With a PhD in Physics and an MS in Statistics, Laser brings rigorous experimental and statistical methodologies from CERN-era particle physics to production-grade ML pipelines and large-scale ETL architectures. He has led cross-functional initiatives using Trino, Airflow, Presto, and MCMC simulations to deliver predictive maintenance, audience segmentation, and battery-fault modeling at scale. Known for mentoring teams and aligning ML architecture with product roadmaps, he consistently translates complex data challenges into measurable business outcomes. Based in San Diego, he blends deep research instincts with practical engineering—often applying techniques from high-energy physics to industrial telemetry and advertising datasets.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Wisconsin-MadisonMaster of Science - MS Statistics, Master of Science - MS Statistics at Texas A&M UniversityBachelor of Science (BS) Physics Mathematics, Bachelor of Science (BS) Physics Mathematics at University of Florida
English, French
Github Skills (13)
python-client10
hiveserver29
python-interface9
singer8
database8
python8
sqlalchemy8
trino6
data-analytics6
presto6
dbms5
hive5
atlas2
Programming languages (1)
Github contributions (5)
laserkaplan/ttHyyML
Mar 2017 - Jul 2017
Contributions:72 commits, 24 pushes, 1 branch in 3 months
laserkaplan/trino-python-client
Jun 2022 - Dec 2023
Python client for Trino
Contributions:19 pushes, 4 branches in 1 year 6 months
trinopythonpython-client
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