Filip Sedivy is a backend engineer based in Prague with 11 years of hands-on experience building and architecting medium-sized PHP applications, primarily with the Nette framework. He currently develops backend systems at Boost.space while completing a Master's thesis that applies AI/ML and computer vision methods into a cross-platform (Windows, macOS, Linux) application. His background spans API design, data prediction and analytics, secure network architecture, and practical DevOps tooling including Docker and JetBrains IDEs. He has tutored peers in programming and neural networks at Tomas Bata University, reflecting both technical depth and a knack for mentoring. Comfortable bridging research and production, he mixes solid PHP architecture experience with growing expertise in LLMs, RAG and applied computer vision.
11 years of coding experience
1 year of employment as a software developer
Bakalář (Bc.) / Bachelor of Science, Bakalář (Bc.) / Bachelor of Science at Tomas Bata University in Zlin
SŠAI Weilova
Inženýr (Ing.) / Master of Science, Inženýr (Ing.) / Master of Science at Univerzita Tomáše Bati ve Zlíně
Contributions:14 releases, 392 commits, 52 PRs in 4 years 6 months
recordseetsaleselectronicphp-library
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.