Aurelien Werenne is a software engineer based in London with 11 years of experience building production-grade systems at companies like Palantir and Bloomberg. He specializes in deep learning, distributed systems and algorithms, combining research-rooted thinking from MS degrees in engineering and computer science with hands-on implementation. At Bloomberg he progressed from intern to full engineer and now contributes to complex, data-heavy tooling at Palantir. Known for bridging research and engineering, he has a public portfolio of work (awerenne.github.io) that surfaces algorithmic and ML projects alongside practical system designs. Quietly pragmatic, he favors solutions that scale in both performance and maintainability.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science and Engineering, cum laude, Master of Science - MS, Computer Science and Engineering, cum laude at Université de Liège
Contributions:91 pushes, 1 branch in 1 year 3 months
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