Danielius Visockas is a Staff Engineer with 11 years of experience building transportation and computer vision tools, currently driving Carts and Checkouts at Shopify. He blends backend expertise in Ruby on Rails, GraphQL and Postgres (postgis) with hands-on ML work on speaker verification using PyTorch, and has led engineering teams as a former CTO. Comfortable across the stack, he has shipped marketplaces, auction platforms and large Rails migrations while also contributing localization to Mozilla’s high-profile Common Voice project. A Vilnius-based MSc in Artificial Intelligence Systems, he reads widely on machine learning and psychology and brings that interdisciplinary curiosity into product decisions. Outside work he listens to economics and classical music and even makes burgers—an indicator of his practical, tinkerer mindset.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Artificial Intelligence Systems, Master of Science - MS, Artificial Intelligence Systems at VILNIUS TECH - Vilnius Gediminas Technical University
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
Role in this project:
Localization / Internationalization Specialist
Contributions:14 commits, 1 PR, 1 comment in 7 months
Contributions summary:Danielius primarily contributed to the localization efforts of the Common Voice project. Their work involved updating the Lithuanian (lt) translations within the web/locales/lt/messages.ftl file. These updates encompass general phrases, language names, layout elements, and various sections related to home page content, profile information, and data download options. The user collaborated with other contributors to ensure accurate and comprehensive Lithuanian localization.
Contributions:1 release, 16 commits, 10 PRs in 1 year 1 month
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