Ivan Vovk
Software QA Tester at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolIvan Vovk is a Software QA Tester with over a decade of industry experience and 2+ years focused on testing web and mobile applications at scale in the San Francisco Bay Area. At Google he leads test planning, functional/regression/smoke testing, and device-fragmentation analysis for iOS and Android builds while coordinating distributed onshore/offshore teams. He brings strong backend testing skills—writing and executing SQL—alongside hands-on use of Selenium WebDriver, Chrome Developer Tools, and major bug trackers like Jira and Bugzilla. Comfortable across SDLC and Agile environments, he writes detailed test cases, estimates effort, and builds test matrices that keep releases reliable under tight deadlines. His background in mathematics and interests in machine learning, computer vision, and speech technologies hint at a propensity for data-driven testing and automated quality solutions. Self-motivated and analytical, he combines creative problem-solving with accountability to improve product quality across complex projects.
10 years of coding experience
Software Testing and Software Quality Assurance, Software Testing and Software Quality Assurance at Portnov Computer SchoolBachelor's degree, Information Technology; Teaching Degree;, Bachelor's degree, Information Technology; Teaching Degree; at Southern Ukrainian National University K. D. Ushinsky
Github Skills (31)
speech-processing10
speech-synthesis10
speech10
arxiv10
speech-to-text9
pdf9
backpropagation9
speech-recognition9
stochastic-processes8
dynamical-systems8
ode7
pytorch7
autoencoder7
variational-autoencoder7
synthesis7
Programming languages (2)
Github contributions (5)
ivanvovk/durian-pytorch
May 2020 - Aug 2020
Implementation of "Duration Informed Attention Network for Multimodal Synthesis" (https://arxiv.org/pdf/1909.01700.pdf) paper.
Contributions:19 commits, 1 PR, 36 pushes in 2 months
pytorcharxivpdfdeep-learningsynthesis
ivanvovk/WaveGrad
Sep 2020 - Nov 2020
Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.
Contributions:58 commits, 1 PR, 27 pushes in 2 months
pytorchbrainhigh-fidelityarxivpdf
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