Yasha Pushak
Principal Member Of Technical Staff at Oracle Labs
Greater Vancouver Metropolitan Area Canada
Summary
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Senior🎓
Top SchoolYasha Pushak is a Principal Member of Technical Staff on the AutoMLx team at Oracle Labs, with a decade of experience bridging algorithm design and empirical AutoML methods. He holds a PhD from UBC as a Vanier Scholar and focuses on improving performance of state-of-the-art optimization algorithms through principled parameter configuration. His work blends theoretical algorithmic insight with hands-on experimentation to tune solvers for hard computational problems, often yielding practical improvements in real-world workloads. Prior academic roles include graduate research and teaching at UBC, where he published on road design and multi-objective optimization as an undergraduate. Based in the Greater Vancouver area, he combines deep technical rigor with a pragmatic orientation toward deployable AutoML tooling. An understated strength is his track record of moving ideas from academic papers into applied algorithmic engineering at scale.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of British Columbia
English, French
Github Skills (26)
python9
classification9
machine-learning9
privacy9
regression9
streamlit9
oracle9
configurator8
data-analysis8
automated-machine-learning8
ai8
statistics8
automl8
visualization8
data-science8
Programming languages (3)
Github contributions (5)
oracle-samples/automlx
Apr 2023 - May 2025
This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.
Contributions:8 reviews, 6 PRs, 4 pushes in 2 years 1 month
automated-machine-learningoraclepythonaiautoml
oracle/guardian-ai
Oct 2023 - Jun 2025
Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.
Contributions:1 release, 25 reviews, 5 PRs in 1 year 8 months
aimachine-learning-modelsaccelerated-data-sciencebias-mitigationmachine-learning
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