Erik Gärtner
Co-Founder at Realmforge AI
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolErik Gärtner is a PhD-trained computer vision and machine learning researcher-turned-founder with 12 years of experience building applied ML systems and products at the intersection of AI and entertainment. As Co-Founder of Realmforge AI and former CEO of a ML consulting firm, he combines research rigor from roles at RADiCAL and Google with practical engineering—shipping production-ready pose-estimation models and MLOps solutions. He has hands-on expertise across the stack, from extending a C++/CUDA differentiable physics library’s Python API to crafting interactive front-end visualizations with D3. His academic work on learned optimizers and physics-based human pose estimation has been published at CVPR and influenced real products like Google Pixel Watch. Based in Copenhagen, he pairs entrepreneurial drive with deep technical breadth, bridging research prototypes and scalable deployments. An under-the-radar strength is his ability to move between low-level performance engineering and user-facing UX refinements, evidenced by contributions to both back-end simulators and front-end visualization libraries.
12 years of coding experience
5 years of employment as a software developer
Exchange Program Computer Science, Exchange Program Computer Science at Georgia Institute of TechnologyDoctor of Philosophy - PhD Computer Vision and Machine Learning, Doctor of Philosophy - PhD Computer Vision and Machine Learning at Lund UniversityNatural Sciences, Natural Sciences at Katedralskolan
Swedish, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
javascript10
c-language10
eigen10
d3js10
cprogramming-language10
python10
quaternions10
linear-algebra10
maths10
html9
css9
cuda9
Programming languages (10)
Github contributions (5)
ErikGartner/dTree
Dec 2015 - Apr 2020
A library for visualizing data trees with multiple parents, such as family trees. Built on top of D3.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:33 releases, 1 review, 188 commits in 4 years 5 months
Contributions summary:Erik appears to be primarily focused on implementing the front-end of a data visualization library. The commits involve adding demo functionality, switching the core foundation, restructuring the code, and changing the data format to create a new user experience. The user also made changes to the demo index.html and dtree.js files to build a front end user experience with various CSS styling and HTML rendering changes.
visualizationtreesvisualizing-data-treesdata-treestreemap
erwincoumans/tiny-differentiable-simulator
Dec 2020 - Feb 2022
Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 reviews, 55 commits, 21 PRs in 1 year 1 month
Contributions summary:Erik primarily focused on expanding the Python interface of the C++ and CUDA physics library. Their work included adding support for a new data type, ADFun, and implementing matrix multiplication. They improved the overall API by adding value() and normalizing quaternion functions. The user also made corrections and enhancements to the underlying codebase for better functionality and stability.
dependenciesautomatic-differentiationsimulationsimulatorreinforcement
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