Johan Vergeer
Tech Lead Alliander at Vergeer Metaaltechniek
Limburg, Netherlands
Summary
👤
Senior🎓
Top SchoolJohan Vergeer is a tech lead and seasoned software engineer with a decade of experience building Python-first solutions for large enterprises like Alliander, Rabobank and Politie Nederland. He combines hands-on performance engineering—evidenced by significant refactors to the Scalene profiler—with people-first leadership, training junior developers and running his own metalworking business. Comfortable across software and mechanical engineering domains, Johan thrives on learning through iteration and turning mistakes into practical improvements. Based in Limburg, Netherlands, he focuses on delivering reliable, maintainable systems while mentoring teams to adopt better tooling and profiling practices.
10 years of coding experience
17 years of employment as a software developer
Werktuigbouwkunde, Werktuigbouwkunde at Fontys University of Applied SciencesBachelor of Science - BS Informatica (Software engineering) / Hogere opleiding Software engineer, Bachelor of Science - BS Informatica (Software engineering) / Hogere opleiding Software engineer at Fontys Hogeschool EindhovenMechanische vormgevingstechnieken, Mechanische vormgevingstechnieken at Sint Jansberg Maaseik
English, nedelands
Stackoverflow
5,428reputation
1.1mreached
24answers
172questions
kotlin
top-5%
Github Skills (14)
performance-analysis10
python10
profiler10
pytest9
kotlin9
yum6
gradle-kotlin-dsl6
android6
jvm6
corda6
integration-testing6
intellij-idea6
gradle6
gpu3
Programming languages (13)
Github contributions (5)
plasma-umass/scalene
Jul 2020 - Jul 2020
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Role in this project:
Performance Engineer
Performance EngineerContributions:8 commits, 1 PR, 6 comments in 1 day
Contributions summary:Johan primarily focused on refactoring and enhancing the `scalene` profiler. Their contributions include extracting and improving the `Sparkline` class, which is used for visualizing performance data. They also moved and refactored code related to adaptive sampling, demonstrating a focus on optimizing the profiling process and its output. These changes suggest a deep understanding of the project's core functionality and a dedication to refining its performance analysis capabilities.
memoryai-poweredpythonscaleneacceleration
johanvergeer/codingwithjohan-nuxt
Dec 2020 - Jan 2022
My personal blog implemented with Nuxt
Contributions:4 reviews, 79 PRs, 129 pushes in 1 year
vuenuxtjsnuxtmy-personal-blog
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