Ruslan Brilenkov is a Senior Data Specialist based in Waterloo with nine years of experience turning complex business problems into scalable data products, currently focused on Personal Insurance at Definity. Trained as an astrophysicist (PhD candidate) and with multi-country Masters training, he blends rigorous scientific methods with practical data engineering skills across SQL, Python, and GCP. He has a track record of building automated data workflows, privacy-compliant migrations, and machine-learning pipelines that delivered measurable business impact, including revenue-driving features and cost-reduction algorithms. As a versatile contributor he also writes accessible technical content (29+ blogs) and evaluates AI writing, demonstrating an uncommon ability to translate technical nuance for broad audiences. His freelance and research work spans public health network analysis to automated web scraping, showing comfort with both exploratory science and production-grade engineering. Outside work he engages in community outreach through hands-on volunteering with Recycle Cycles, reflecting a commitment to applied impact beyond code.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Astronomy and Astrophysics, Master of Science - MS Astronomy and Astrophysics at The University of Göttingen
Master of Science - MS Astronomy and Astrophysics, Master of Science - MS Astronomy and Astrophysics at Università degli Studi di Padova
Bachelor of Science - BS Theoretical Physics, Bachelor of Science - BS Theoretical Physics at Odessa I.I.Mechnikov National University
Master of Science - MS Astronomy and Astrophysics, Master of Science - MS Astronomy and Astrophysics at Universität Innsbruck
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Groningen
Master of Science - MS Astronomy and Astrophysics, Master of Science - MS Astronomy and Astrophysics at University of Rome Tor Vergata
This repository is dedicated to a real-life computer vision application with OpenCV. Precisely, building a Python application for document scanning using a series of morphological transformations.
Contributions:9 commits, 2 PRs, 10 pushes in 3 months
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