Zach Bean
Senior Software Engineer at Netflix
California, United States
Summary
👤
Senior🎓
Top SchoolZach Bean is a Senior Software Engineer with a decade of experience designing high-performance user interfaces for resource-constrained embedded and mobile platforms. He has led shipping teams at Netflix (notably on Xbox 360 and Xbox One streaming clients and a cloud-hosted embedded client framework), and built UI platforms at Cisco, Palm, TiVo, and others. His technical breadth spans C/C++, C#, JavaScript/HTML5, Groovy, Qt, and custom UI toolkits, with a track record of optimizing runtime performance and reducing DOM/profile overhead for smooth, responsive experiences. Zach also contributes to notable open-source work, including enhancements to a .NET wrapper for Tesseract OCR that expose native recognition features and font metadata. Based in California, he pairs pragmatic product-driven engineering with deep embedded-systems know-how, often surfacing unexpected efficiencies in constrained environments.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Rensselaer Polytechnic Institute
English, German
Github Skills (9)
ocr10
net10
asp-net10
dotnet10
ocra10
interoperability10
csharp10
dotnet-core10
tesseract10
Programming languages (5)
Github contributions (5)
charlesw/tesseract
Apr 2017 - Apr 2017
A .Net wrapper for tesseract-ocr
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 2 PRs, 4 comments in 6 days
Contributions summary:Zach primarily contributed to the .Net wrapper for tesseract-ocr, focusing on enhancing the functionality of the library. They added core classes such as `FontInfo` and `FontAttributes` along with their associated methods for retrieving and caching font information. The user also integrated native Tesseract OCR functions, exposing them for .Net use through `Interop` and `ResultIterator`. Moreover, they implemented various utilities to improve access to information about the recognition language and other related properties.
dotnetocrtesseract
docBliny/haiku-senseme
Sep 2016 - May 2017
Control SenseME enabled devices from Haiku with Node.js
Contributions:17 commits in 8 months
nodejs
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