Vlad Hnatiuk
Junior Data Engineer
Vienna, Ukraine
Summary
👤
Senior🎓
Top SchoolVlad Hnatiuk is a Junior Data Engineer with a decade of experience in data and software roles and five years focused on building machine learning models. Based in Vienna and holding an MS in Applied Mathematics, he combines strong statistical foundations with practical skills in R and Python to deliver predictive modeling, time-series forecasting, and data-processing pipelines. At PIVIST LLC he developed HFT ML models, backtesting frameworks, sentiment-analysis systems, and real-time forecasting apps, demonstrating an ability to move models from research to production. Now at Capgemini, he’s applying that background to engineering scalable data solutions in enterprise contexts. Vlad is comfortable with data quality, feature engineering and performance optimization, and he often bridges domain knowledge (FinTech, energy forecasting) with pragmatic tool-building like Shiny apps. Colleagues value his quantitative rigor and his knack for turning complex mathematical concepts into efficient, usable software.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at National Aviation University
Github Skills (144)
entity-relationship10
ffi10
matrix10
feed10
python-app10
sdk10
binding10
nuitka10
qt9
relationship9
rust9
webassembly9
python9
constraint9
chat9
Programming languages (12)
Github contributions (5)
Aksem/libavoid-js
Mar 2021 - Jun 2022
Contributions:6 releases, 19 commits, 22 PRs in 1 year 3 months
Aksem/adaptagrams
Feb 2022 - May 2024
Libraries for constraint-based layout and connector routing for diagrams.
Contributions:1 release, 25 PRs, 63 pushes in 2 years 3 months
diagramsconnectorlayoutconstraintrouting
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