Alexander Ekdahl is a versatile software engineer with 13 years of experience building production systems in AI/ML, cloud-native infrastructure, and robotics. He has led small engineering teams and technical initiatives—from deploying deep learning models for NYSE trading at Borealis AI to developing onboard software for autonomous vehicles at Waabi and core orchestration services for robots at Kindred.ai. Comfortable across Go, distributed systems, simulation-driven performance tuning, and feature-flagging, he combines hands-on coding with systems-level design and operational delivery. Now based in Copenhagen and currently contributing to Humble Robotics, he excels at turning research-grade models and robotics logic into resilient, deployable services. Colleagues value his pragmatic technical leadership and ability to simplify complex integration challenges between hardware, ML models, and cloud tooling.
13 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at Korea University
Master of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at Lund University
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Alexander Ekdahl - Software Engineer at Humble Robotics