Michael Truong
About Michael Truong
Michael Truong is a Machine Learning Engineer at Sinch, where he has worked since 2019, focusing on enhancing communication services through machine learning projects. He holds a Master's degree in Engineering Physics from Lund University and has prior experience as a Master Thesis Student and Summer Intern in the field.
Work at Sinch
Michael Truong has been employed at Sinch as a Machine Learning Engineer since 2019. His role involves contributing to machine learning projects that enhance communication services. He has been actively engaged in practical applications of data science to address real-world challenges. During his tenure, he participated in collaborative projects that integrate machine learning with cloud-based solutions, showcasing his ability to work in a team-oriented environment.
Previous Experience
Before his current position, Michael worked at Sinch as a Master Thesis Student for 11 months in 2019. This role provided him with valuable experience in the field of machine learning. Additionally, he interned at NE Nationalencyklopedin AB as a Summer Intern from 2016 to 2018, where he gained insights into data science applications over a two-year period.
Education and Expertise
Michael Truong studied at The Faculty of Engineering at Lund University, where he earned a Master's degree in Engineering Physics from 2014 to 2019. His educational background equips him with a strong foundation in engineering principles and advanced physics, which he applies in his work as a Machine Learning Engineer.
Background
Michael has a background in engineering and data science, with a focus on machine learning applications. His experience spans various roles that have contributed to his expertise in enhancing communication services through technology. His work reflects a commitment to solving complex problems using innovative solutions.