Summary
Lorenzo Cian is a pragmatic software engineer with six years of experience building scalable backend systems, currently developing Sentry's next-generation Objectstore in Rust and Kubernetes. He combines strong academic training (MSc cum laude) with hands-on cloud and data infrastructure experience from Amazon, where he built a metadata discovery platform deployed via AWS CDK and saved analytics teams dozens of hours weekly. Lorenzo has applied ML research to production-like environments—implementing Graph Neural Networks in PyTorch and integrating them with LAMMPS via a C++ extension—demonstrating an ability to bridge research code and HPC workflows. Equally comfortable in systems and security, he is a top-ranked CTF teammate focused on reverse engineering and exploitation, and he maintains SDKs and developer tooling in Python, Rust, Java and Go. He favors practical, performant solutions that reduce operational overhead and enable cross-team adoption, and often contributes reusable SDKs and code-generation pipelines that standardize telemetry and developer experience.
6 years of coding experience
2 years of employment as a software developer
High School Diploma Information Technology, High School Diploma Information Technology at ISIS G. Galilei
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Universität Klagenfurt
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Università degli Studi di Udine
Italian, English, German