Summary
Anugerah Erlaut is a senior data engineering professional based in Copenhagen with 11 years of experience building scalable, production-grade data platforms and containerized ETL/ELT pipelines for scientific and industrial domains. With a foundation in biology and an MRes in Bioinformatics, he uniquely bridges life-science requirements and robust engineering—designing FAIR data products like TileDB-SOMA-backed scRNA-seq assets and parallel Snakemake/Nextflow workflows on HPCs. At Novo Nordisk he has delivered real-time imaging pipelines, deployed U-Net vision models and published models to HuggingFace, demonstrating a knack for operationalizing ML at scale. He combines full-stack cloud skills (AWS, Kubernetes, CI/CD) with pragmatic tooling choices and a user-centered mindset, often automating mundane lab processes to accelerate research. A proactive communicator and team player, he moves fluidly between hands-on implementation and product thinking, and has a track record of founding and scaling data-driven solutions in both startup and enterprise settings.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS Chemical Engineering, Master of Science - MS Chemical Engineering at Institut Teknologi Bandung
Algoritma Data Science School
M. Res. Bioinformatics Bioinformatics, M. Res. Bioinformatics Bioinformatics at Birkbeck, University of London
Bachelor of Science (B.Sc.) Biology/Biological Sciences General, Bachelor of Science (B.Sc.) Biology/Biological Sciences General at Nanyang Technological University Singapore
Indonesian, English