Bahareh Bafandeh Mayvan
About Bahareh Bafandeh Mayvan
Bahareh Bafandeh Mayvan is a Senior Software Developer specializing in Embedded Machine Learning at Hinge Health, where she has worked since 2022. She has a strong background in software development and research, with experience in machine vision techniques and a Ph.D. in Software Engineering.
Work at Hinge Health
Bahareh Bafandeh Mayvan has been employed at Hinge Health since 2022 as a Senior Software Developer specializing in Embedded Machine Learning. Prior to this role, she worked at Hinge Health for five months in 2021 as a Software Developer in the same area. Her contributions focus on integrating machine learning techniques into embedded systems to enhance health technology solutions.
Education and Expertise
Bahareh Bafandeh Mayvan holds a Doctor of Philosophy (Ph.D.) in Software Engineering - Software Systems from Ferdowsi University of Mashhad, which she completed from 2014 to 2018. She also earned a Master’s Degree in Engineering Science - Algorithms and Computation from the University of Tehran. Additionally, she has a Bachelor’s Degree in Computer Software Engineering from Ferdowsi University of Mashhad. Her academic background supports her expertise in machine learning and machine vision techniques.
Background in Research and Development
Bahareh Bafandeh Mayvan has a solid background in research and development. She served as a Research Assistant at the Machine Vision Laboratory (MVLab) from 2014 to 2017 and at the Software Quality Lab (SQL) from 2015 to 2019. These roles provided her with experience in machine vision and software quality engineering, including design pattern detection and code smell mining.
Previous Work Experience
Before her current role at Hinge Health, Bahareh worked at wrnch as a Software Developer in both Embedded & Optimization and Production roles. She spent nine months in 2021 focusing on embedded systems and optimization in Montreal, Quebec, Canada, and one year from 2019 to 2020 in a production capacity in the Montreal area. Her diverse work experience contributes to her proficiency in software development.
Technical Skills and Methodologies
Bahareh Bafandeh Mayvan is proficient in using various tools and programming languages, including TensorFlow, Keras, OpenCV, C++, Python, and MATLAB. She has expertise in machine vision techniques such as polymotion analysis, 2D pose estimation, and 3D sensing. Additionally, she applies Agile and Scrum methodologies in her software development processes, ensuring efficient project management and delivery.