Alexsander Costa is a Senior Data Scientist at Xometry, with prior experience at ihm stefanini, where the focus was on developing tailored data solutions and scalable software using MLOps methodologies. Early career roles included Data Scientist, Graduate Research and Teaching Assistant at Carleton University, and technical internship as a Control Engineering Researcher at ING Robotic Aviation Inc. Alexsander's research background consists of developing machine learning models and working on computer vision applications, alongside an extensive foundation in regression and classification techniques during undergraduate research at UFMG and Czech Technical University in Prague. Alexsander holds a Master's degree in Mechanical Engineering from Carleton University and a Bachelor's degree in Control and Automation Engineering from Universidade Federal de Minas Gerais.
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