Miguel Joaquim
About Miguel Joaquim
Miguel Joaquim is a Machine Learning Engineer at Amplemarket in San Francisco, with a background in biomedical engineering and data science.
Current Role as Machine Learning Engineer at Amplemarket
Miguel Joaquim holds the position of Machine Learning Engineer at Amplemarket, based in San Francisco, California, United States. In this capacity, he applies advanced data science techniques and machine learning algorithms to drive innovation and efficiency. Amplemarket is known for leveraging AI to redefine traditional sales processes, and Miguel's role is pivotal in contributing to the company's technological advancements.
Previous Experience as Data Scientist at EMOTAI
Before joining Amplemarket, Miguel Joaquim served as a Data Scientist at EMOTAI in Lisboa e Região, Portugal, from 2019 to 2024. During his five-year tenure at EMOTAI, he focused on developing data-driven solutions to enhance user experiences and product offerings. His work involved the practical application of data science principles to solve complex problems and innovate in the field of user interaction technologies.
Education and Specialization in Biomedical/Medical Engineering
Miguel Joaquim earned a Master's degree in Biomedical/Medical Engineering from Instituto Superior Técnico, where he specialized in Imagiology, Biosignals, and Biomedical Instrumentation from 2014 to 2019. His academic focus included courses on electronics, signal analysis, imaging, and bioinformatics. Additionally, he participated in the ERASMUS program at KU Leuven from 2018 to 2019, further enhancing his expertise in biomedical engineering. The comprehensive education equipped him with a multidisciplinary approach, combining physics, chemistry, and electronics to improve healthcare solutions.
Interests in Data Science and Machine Learning
Miguel Joaquim developed a strong interest in data science and machine learning during his studies abroad at KU Leuven. This interest has translated into his professional career, where he now focuses on implementing machine learning algorithms to tackle real-world problems. His passion for these fields drives his continuous learning and application of advanced analytical techniques to create impactful technological solutions.