Tomaz Vieira
Team Lead Of Software Development at Link11 GmbH
Germany
Summary
👤
Senior🎓
Top SchoolTomaz Vieira is a pragmatic software engineering leader with 9 years of hands-on experience spanning low-level firmware (C, Assembly), backend systems, and modern cloud and GPU-accelerated tooling. Currently Team Lead of Software Development at Link11 and formerly driving WebGL and Rust-based image processing and AI model tooling at EMBL, he combines systems-level rigor with product-focused architecture and team coordination. He has led projects from voting-machine diagnostics and OpenStack drivers to e-commerce backends and HPC-enabled distributed image analysis, demonstrating fluency across languages and platforms. An attentive communicator who “actually reads the manuals,” Tomaz pairs careful documentation and testing with a taste for DSLs and compute shader work, and has contributed to the ilastik image-analysis project by improving label serialization, export integration and tests.
9 years of coding experience
5 years of employment as a software developer
Intel 32/64-bit x86 Architecture Computer Engineering, Intel 32/64-bit x86 Architecture Computer Engineering at MindshareEngineer's degree Computer Engineering, Engineer's degree Computer Engineering at USP - Universidade de São PauloEmbedded Linux Course Computer Engineering, Embedded Linux Course Computer Engineering at Embedded Labworks
English, German, Spanish, Portuguese
Github Skills (8)
il10
python10
serialization9
qt9
data-serialization9
machine-learning8
testing7
json7
Programming languages (12)
Github contributions (5)
ilastik/ilastik
Aug 2018 - May 2022
ilastik-shell, applets, and workflows to string them together.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:39 reviews, 58 commits, 39 PRs in 3 years 10 months
Contributions summary:Tomaz primarily contributed to the ilastik project by implementing features related to label serialization and data export. They addressed issues in object classification by correctly serializing labels and integrating the "Export" menu. Furthermore, they added documentation links to the help menu and resolved compatibility issues with tracking workflow serialization. The user also worked on fixing path issues and adding tests.
to-stringpythonstringilastikmachine-learning
ilastik/ndstructs
Jul 2019 - Mar 2025
Utility classes to deal with 5d arrays
Contributions:9 PRs, 67 pushes, 14 branches in 5 years 9 months
resolvedealdubqbcore-frameworkjavascript
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