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Description

Axel Wickman is a Senior Robotics and Applied AI/ML Engineer with 5+ years of experience building and deploying real-world robotics and AI/ML systems. They have extensive experience connecting perception, sensors, simulation, and robot control all the way through to production. Key projects include deploying software to a fleet of 30 autonomous golf-ball picking robots, leading end-to-end development of an ABB computer vision vision-guided industrial saffron harvester (UNet, NeRFs, Q-Learning), building a hyperspectral drone system for mine detection (UNet, SimCLR), and designing RL-based flight-route planning (PPO, NAF, DQN). Additionally, they built an ATS with an integrated neural reranker capable of processing tens of thousands of candidates (RAG, PyTorch). Axel holds a CogSci BSc and is fluent in English and Swedish. They are open to contract/freelance or full-time remote work, including US hours.