Oleguer Canal
About Oleguer Canal
Oleguer Canal is a Machine Learning Engineer with a diverse background in mathematics and industrial engineering. He has worked in various roles across multiple countries, including internships at Electronic Arts and Spotify, and currently works at Happy Scribe in Barcelona, Spain.
Current Role at Happy Scribe
Oleguer Canal has been employed as a Machine Learning Engineer at Happy Scribe since October 2021. In this role, he applies his expertise in machine learning to enhance the company's transcription and subtitling services. His work contributes to the development of innovative solutions that improve user experience and efficiency.
Previous Experience in Machine Learning
Before joining Happy Scribe, Oleguer Canal gained valuable experience as a Machine Learning Engineer Intern at Electronic Arts (EA) for five months in 2021 in Stockholm, Sweden. He also interned at Spotify for three months in the same year. His internships provided him with practical skills in machine learning applications within the gaming and music industries.
Research and Engineering Background
Oleguer Canal has a strong research background, having worked as a Research Engineer at KTH Royal Institute of Technology from 2019 to 2020. He also served as a Research Student at the Massachusetts Institute of Technology for one year from 2017 to 2018. His research experience has contributed to his understanding of advanced machine learning techniques.
Educational Qualifications
Oleguer Canal holds a Master's degree in Machine Learning from KTH Royal Institute of Technology, which he completed from 2019 to 2021. He also has a Bachelor of Science in Mathematics and Industrial Engineering from Universitat Politècnica de Catalunya, achieved from 2013 to 2018. His educational background provides a solid foundation for his work in machine learning.
International Work Experience
Oleguer Canal has extensive international work experience, having worked in various countries including Sweden, China, and the USA. His roles have ranged from a Perception Engineer at XYZ Robotics Inc. in Shanghai to internships in Barcelona and Stockholm. This diverse experience has equipped him with a global perspective in the field of machine learning.