Summary
Jelmer Van Der Linde is a Data Engineering Lead with 16 years of experience building scalable AI and geospatial systems, currently leading data engineering at the Ellison Institute of Technology Oxford. He has driven petabyte-scale ML data pipelines and experimental LLM efficiency work at Meta, contributing to Llama pre-training and distillation efforts. Comfortable across Python, JavaScript, C++, Haskell and Prolog, he blends practical production engineering with formal AI research roots from a MSc in Artificial Intelligence. His background includes building geospatial ingestion and lidar pipelines, extracting value from noisy public data, and optimising HPC workflows for ParaCrawl and machine translation. At heart he prefers small, multidisciplinary, slightly experimental teams where systems meet research, and he’s as likely to prototype in Haskell or Prolog as he is to scale Python at petabyte scale. A longtime collaborator across academic and industry projects, he enjoys “talking to computers” and turning imperfect internet data into reliable training assets.
16 years of coding experience
20 years of employment as a software developer
Master of Science (MSc) Artificial Intelligence, Master of Science (MSc) Artificial Intelligence at University of Groningen
Dutch, English, German