Summary
Lars Suanet is a founder and engineer with 11 years of experience delivering machine learning systems from prototype to production, currently leading LeafSheep Technologies from Singapore. He combines hands-on software engineering in Python and Go with cloud-native deployment expertise—Kubernetes, Docker and CI/CD—to build data pipelines, train models and integrate them into backend services. His background includes consulting and platform roles at Enjins, Deeploy and Delphi Digital where he translated business needs into scalable ML products using Airflow, SQL, PyTorch and scikit-learn. A Leiden University graduate who finished with honours, he brings both academic rigor and startup pragmatism, often bridging strategy and execution as CTO-level technical leadership at Almanak. Notably, he focuses on operationalizing ML—making models reliable, observable and maintainable in real-world systems.
11 years of coding experience
4 years of employment as a software developer
Gymnasium, N&T/N&G + Economie + Informatica, Gymnasium, N&T/N&G + Economie + Informatica at Kennemer College
Bachelor of Science ~ Cum Laude ~, Computer Science, 8.2 out of 10, Bachelor of Science ~ Cum Laude ~, Computer Science, 8.2 out of 10 at Leiden University
Dutch, English, Spanish, Chinese