Razvan-Antonio Berbece is a versatile software engineer with 8 years of hands-on experience building scalable, cloud-native systems and tooling from onboarding networks to core backend services. Currently at X-Lab, he helped migrate a complex .NET Framework platform to .NET Core and has owned Terraform-driven Azure infrastructure, background workers, and multi-tenant diagnostics product work for Labgnostic. He combines strong foundations in algorithms, distributed systems and statistics with practical DevOps and networking expertise gained running large Azure migrations and customer-facing deployments. A first-class Computer Science graduate from the University of Leeds, he also contributed research-grade ML tooling during a MOF prediction project that improved model performance by over 80%. Curious and pragmatic, he maintains a collection of tinkering projects on GitHub that reflect his habit of exploring new languages and techniques outside day-to-day work.
8 years of coding experience
1 year of employment as a software developer
Computer Science, 9.70 / 10.0, Computer Science, 9.70 / 10.0 at National College of Computer Science Piatra-Neamt
Bachelor of Science (Ind), Hons, Computer Science, Honors Class 1, Bachelor of Science (Ind), Hons, Computer Science, Honors Class 1 at University of Leeds
Conditional Generative Adversarial Network (cGAN) model built in Python for generating real 2D images of hands depicting Rock Paper Scissors shapes as used in the game.
Contributions:90 PRs, 126 pushes, 17 branches in 4 months
A simple web clicker mini-game developed using HTML5, CSS3 and Javascript for the purpose of understanding basic Javascript concepts and also responsive design and development using Bootstrap and Flex.
Contributions:2 PRs, 1 push, 3 branches in 3 years 4 months
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Razvan-antonio Berbece - Software Engineer at X-Lab