Helge Jacobsen
MLOps Engineering Manager at Veo Technologies
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolHelge Jacobsen is an MLOps engineering manager with 13 years of software and machine learning experience, currently leading research efficiency, model traceability, cost-efficient inference and scalable feature pipelines at Veo Technologies. He has repeatedly taken ML projects from prototype to production—most notably Prediction-as-a-Service products at Visma—and builds the tooling and processes that make experiments reproducible, auditable and deployable. As a team lead he combines technical depth in deep learning and data engineering with a focus on business value and customer impact, pushing teams to find practical sweet spots between research and product. Beyond engineering, Helge’s background includes teaching at DTU, startup co-living and summers instructing kitesurfing, reflecting a blend of mentoring, prototyping mindset and hands-on coaching that informs his leadership style.
13 years of coding experience
9 years of employment as a software developer
Stanford University (Coursera)University of California San DiegoMSc, Data Science Specialisation, MSc, Data Science Specialisation at Danmarks Tekniske UniversitetStudentereksamen, Matematisk, Studentereksamen, Matematisk at Rysensteen GymnasiumGolden Bay Highschool (New Zealand)
Stackoverflow
2,070reputation
827kreached
26answers
10questions
label
top-5%
python
top-5%
Github Skills (149)
python10
model-management10
gcp10
deep-learning10
r10
statistics10
ml10
ai10
neural-network10
azure10
science10
cli10
r-package10
data-science10
rocket10
Programming languages (7)
Github contributions (5)
elgehelge/university-timetabling
Mar 2014 - Nov 2015
Contributions:22 commits, 1 push in 1 year 8 months
e-conomic/hiring-assignments
Oct 2016 - Dec 2019
Containing assignments used for technical job interviews
Contributions:5 PRs, 16 pushes, 10 branches in 3 years 2 months
job-interviewsjob
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