Victor Cester is a Senior Software Engineer with six years of hands-on experience building scalable web applications, microservices, and privacy-preserving distributed systems across startups, academia, and open-source communities. He has led engineering teams and shipped resilient APIs and federated learning infrastructure for research and production, marrying data-science workflows with robust backend design. An active OpenMined maintainer, Victor has contributed core back-end improvements to PySyft—helping enable data science on remote, private data—while also driving product work in companies from Bangkok to Barcelona and now the UK. Comfortable across Go, React and Python stacks, he blends pragmatic architecture, testing discipline and CI-driven delivery with a researcher’s eye for privacy-preserving ML. Notably, his work often sits at the intersection of applied research and production engineering, translating complex privacy requirements into usable systems.
6 years of coding experience
6 years of employment as a software developer
M.Sc Data Science Information Technology, M.Sc Data Science Information Technology at University of Essex
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Contributions:25 commits, 3 PRs, 30 pushes in 2 months
Contributions summary:Victor's contributions focused on implementing and refactoring core back-end functionalities. Their work included adding middleware, updating the database schema, refactoring errors, and formatting files. They also implemented a "sleepy mode" to control application behavior based on the setup configuration. Additionally, the user was involved in updating setup-related messages and their corresponding classes.
Decision Trees for Expert Iteration : A Benckmark Study for en Enchanced Agent Strategy
Contributions:4 PRs, 13 pushes, 1 branch in 2 years 6 months
treesagentdecisionexpertdecision-trees
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Victor Cester - Senior Software Engineer at EarnIn