Jesper Nielsen
It-konsulent at Merkur Andelskasse
Copenhagen, Capital Region of Denmark
Summary
🤩
Rockstar🎓
Top SchoolJesper Nielsen is an experienced IT consultant and support specialist with over six years of focused experience in large-organisational IT operations, now serving as It-konsulent at Merkur Andelskasse. He combines deep hands-on skills in Windows server environments, Exchange, Terminal Server/Hyper-V, IP telephony and network/firewall administration with a pragmatic, user-centred approach to incident resolution and security administration. Known for clear communication and proactive follow-through, he has handled major incidents, led multiple migrations and upgrades (including Exchange 2010 and Windows 2008) and acted as a trusted administrator for user and security management. Jesper also contributes to open-source tooling, improving backend numerical stability and documentation for the GPflow Gaussian processes library, showing an interest in precise, reliable engineering beyond day-to-day support. Colleagues describe him as responsible, engaged and collaborative, often sharing knowledge and driving tasks to completion.
6 years of coding experience
IT, IT at Aarhus Business School
Github Skills (11)
tensorflow10
python10
documentation10
gaussian-processes10
model-optimization9
numerical9
numerical-methods9
numeric9
machine-learning9
stability9
numerics9
Programming languages (3)
Github contributions (5)
GPflow/GPflow
Nov 2021 - Oct 2022
Gaussian processes in TensorFlow
Role in this project:
Back-end & Documentation Engineer
Back-end & Documentation EngineerContributions:6 releases, 138 reviews, 188 commits in 11 months
Contributions summary:Jesper primarily worked on improving the backend of the GPflow library, focusing on the numerical stability and correctness of the models, in particular within the GPR and SGPR models. They made code changes to facilitate the use of models with varying noise and incorporated those changes with existing tools like tf.function. Their contributions also included improvements to the documentation, ensuring accuracy and completeness of all modules.
information-theorygpflowdeep-learningmachine-learningmarkov-chain-monte-carlo
jesnie/compreq
Jul 2023 - Mar 2025
A library for dynamically calculating Python dependencies, to keep them up-to-date.
Contributions:4 releases, 2 reviews, 86 PRs in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.