Irina Barabanova

Senior Software Engineer at Kraken

Adelaide, South Australia
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Summary

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Senior
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Top School
Irina Barabanova is a Senior Software Engineer with nine years' experience blending R&D rigor and enterprise development to build reliable Python systems, currently advancing platform work at Kraken in Adelaide. She brings strong software architecture skills—domain- and event-driven design—and a track record of improving code quality through TDD and unit-testing cultures, most notably raising coverage to 80% on a simulation platform. Her background in AutoML (FEDOT) and simulation optimization includes designing sensitivity analysis modules, running GPU-accelerated experiments, and publishing results, which gives her a research-grounded approach to production problems. Comfortable leading and organizing cross-functional teams of 30+, she pairs technical leadership with interests in project management, organizational behavior and the psychology behind team dynamics. Irina’s profile is distinguished by a neuroscience-informed perspective (Master’s in Neurotechnology and Software Engineering) that informs her focus on kinder, greener technology solutions.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster's degree Neurotechnology and Software Engineering, Master's degree Neurotechnology and Software Engineering at ITMO University
bookBachelor's degree Information Technology, Bachelor's degree Information Technology at Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University) 
languagesEnglish, Russian
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Github Skills (16)

hyperparameter-optimization10
machine-learning10
automation10
parameter-tuning10
automated-machine-learning10
evolutionary-algorithms10
automl10
python10
modeling10
genetic-programming10
pharmacy5
telegram-bot3
evolutionary2
neuroevolution2
telegram2

Programming languages (2)

JavaScriptPython

Github contributions (5)

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EEG Mental Arithmetic Task from https://physionet.org/content/eegmat/1.0.0/
Contributions:18 PRs, 71 pushes, 18 branches in 6 months
arithmeticmentaleegphysionet
First evolutionary algorithm
Contributions:14 PRs, 47 pushes, 9 branches in 4 months
pythonpython-bindingsneuroevolutionmachine-learningevolutionary-algorithm
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