Marcus Kalander
Senior Research Engineer A Embodied AI at Huawei
Hong Kong, China
Summary
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Rockstar🎓
Top SchoolMarcus Kalander is a Senior Research Engineer with 14 years of experience at Huawei’s Noah’s Ark Lab in Hong Kong, specializing in embodied AI, vision-language-action models, reinforcement learning and large-scale system optimization. He has led end-to-end projects from a table tennis robot published at ICRA 2024 to a 1,000+ asset robotic manipulation benchmark and dexterous grasping improvements, while also building globally deployed VoLTE anomaly detection systems and state-of-the-art root-cause algorithms for telecom networks. Marcus blends deep research (papers, patents, open-source contributions like gCastle and fixes in Huawei’s trustworthyAI repo) with production impact, driving model robustness, GPU stability and scalable pipelines. He is active in the ML community—organizing causal learning competitions, earning top KDD Cup placements, and supporting peers on Stack Overflow with a 28k+ reputation—reflecting a pragmatic, collaborative approach to solving real-world AI problems.
14 years of coding experience
6 years of employment as a software developer
Computer Science and Engineering, Computer Science and Engineering at National Chiao Tung UniversityMaster’s Degree, Computer Science - Algorithms, Languages and Logic, Master’s Degree, Computer Science - Algorithms, Languages and Logic at Chalmers University of TechnologyThe Chinese University of Hong Kong (CUHK)
Swedish, English, Chinese, Spanish
Stackoverflow
27,902reputation
2.7mreached
693answers
2questions
dataframe
top-5%
hadoop
top-1%
concatenation
top-5%
schema
top-5%
pandas
top-5%
rdd
top-5%
Github Skills (31)
pytorch10
apache-spark10
python10
gpu-programming10
machine-learning10
pyspark10
hadoop10
scala10
causal-discovery9
pandas9
user-defined-function9
causal-inference9
9
numpy9
dataframe9
Programming languages (5)
Github contributions (5)
huawei-noah/trustworthyAI
May 2021 - Oct 2022
Trustworthy AI related projects
Role in this project:
ML Engineer
ML EngineerContributions:6 reviews, 72 commits, 44 PRs in 1 year 4 months
Contributions summary:Marcus primarily focused on debugging and fixing GPU-related issues within the reinforcement learning (RL) method, specifically in the context of causal discovery models. The code changes indicate modifications to the decoder modules, addressing potential bugs related to GPU usage. Additionally, the commits include updates to the codebase by removing input parameters, indicating refinements to the model's architecture and configuration. These changes directly impact the performance and stability of the RL method within the trustworthy AI project.
information-theoryfairness-mltrustworthy-aideep-learningmachine-learning
shaido987/KDD_wind_power_forecast
Jul 2022 - Oct 2022
KDD Cup 2022 spatial dynamic wind power forecast challenge solution.
Contributions:24 commits, 15 PRs, 15 pushes in 2 months
kddsolution-challengepythonspatialwind
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