Kaveh N.

PhD in Mechatronics from KTH Royal Institute of Technology with 6+ years of experience across applied machine learning, robotics, autonomous systems, prediction, and control. I develop ML and algorithmic solutions for real-world engineering problems, from data analysis and predictive modeling to autonomous decision-making, planning, control, and system validation. My background combines academic research with industry R&D and startup experience, including work with Ericsson Research and Huawei Sweden R&D. My work spans autonomous robots and vehicles, ML-based prediction and uncertainty modeling, time-series problems, and production-oriented machine learning, including classification and behavioral prediction from real-world data in startup settings. What I can help you with • Applied machine learning, predictive modeling & time-series forecasting • Robotics, autonomous systems & Physical AI • Motion planning, estimation & control • ML-based modeling, uncertainty estimation & data-driven system modeling • Behavior prediction & sequential decision-making • Research prototypes, simulation & experimental validation • Technical R&D problem solving & algorithm development Technical stack: Python, PyTorch, scikit-learn, MATLAB/Simulink, ROS 2, C++, Git, CARLA, and robotics/ML simulation workflows. At Ericsson Research, I worked on ML-assisted navigation and control for physical robotic systems using ROS 2, including localization uncertainty and experimental validation. At Huawei Sweden R&D, I worked on prediction and uncertainty-aware control for autonomous driving using real-world driving data. In startup environments, I have also developed applied ML solutions using transformers for classification, behavioral prediction, and data-driven product features using real-world user and business data. I can take ownership of technically ambiguous projects, from defining the problem and selecting an appropriate approach through implementation, experimentation, validation, and clear delivery of results. If your project involves applied ML, robotics, autonomous systems, prediction, or control, feel free to send me the problem and I can assess whether my background is a good fit.