Sten Sootla
Senior Machine Learning Scientist at Microsoft
About
Sten Sootla is a highly skilled Senior Machine Learning Scientist with a strong background in developing and implementing machine learning algorithms to solve complex business problems. He is currently working at meta as a Machine Learning Engineer, where he is responsible for designing and implementing machine learning models to improve the performance of the platform. Sten has a wealth of experience in the field of machine learning, having previously worked at Microsoft as a Senior Machine Learning Scientist. During his time at Microsoft, he was responsible for improving the call quality of MS Teams and Skype by replacing traditional noise suppression, echo cancellation, and other algorithms with deep learning models. Before joining meta, Sten worked at Starship Technologies as a Machine Learning Engineer, where he was responsible for the entire machine learning pipeline, from gathering relevant data to putting models into production in a resource-constrained environment. His experience in working with different stakeholders to annotate data, training models, and putting them into production has made him an expert in the field of machine learning. Sten holds a Master's degree in Computational Statistics and Machine Learning from UCL, where he graduated with distinction. He also holds a Bachelor of Science degree in Computer Science from the University of Tartu. Sten's technical expertise includes ML, Research Scientist, and Deep Learning. He has relevant experience of 4.71 years in the field of machine learning and has a proven track record of delivering high-quality work. With his strong analytical skills, attention to detail, and ability to work collaboratively with cross-functional teams, Sten is a valuable asset to any organization.
Education
• ucl
• university of tartu
Companies
• meta
• microsoft
• starship technologies
• cybernetica as
• swedbank estonia
Experience
5.8 Years
Experience
Skills
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Algorithms
Deep Learning
Machine Learning (ML)
Research Scientist
Contact Details
Email (Verified)
xxxxxxxx@xxxx.xxMobile Number
+91XXXXXXXXXXEducation
ucl
Master's degree
2017 - 2018
university of tartu
Bachelor of Science - BSc
2014 - 2017
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