Francesca Vidal
About Francesca Vidal
Francesca Vidal is a Systems Engineer specializing in Machine Learning, currently employed at SRC in Syracuse, New York. She has a background in Electrical Engineering and Computer Science, with experience in developing machine learning algorithms and integrating sensors for mobile robotics.
Current Role at SRC
Francesca Vidal serves as a Systems Engineer specializing in Machine Learning at SRC, a position she has held since 2019. In this role, she focuses on developing and implementing machine learning algorithms, particularly for applications involving mobile robotics. Her work contributes to advancements in the field of robotics within the Syracuse, New York area.
Previous Experience at Reckon Point LLC
Francesca Vidal worked at Reckon Point LLC as an Electrical Engineer from 2017 to 2019. During her tenure, she was involved in various projects that required her expertise in electrical engineering. Prior to this role, she served as an Electrical Engineering Intern at the same company for seven months in 2017, gaining practical experience in the field.
Educational Background
Francesca Vidal holds a Bachelor's degree in Electrical Engineering from The University of Texas at San Antonio, where she studied from 2014 to 2018. Additionally, she earned an Associate of Science (A.S.) degree in Computer Science from Grantham University, completing her studies there from 2011 to 2013. Her educational background provides a strong foundation for her work in systems engineering and machine learning.
Technical Skills and Projects
Francesca Vidal has developed machine learning algorithms specifically for processing WiFi and Geo-magnetic data. She has integrated various sensors, including motors, LIDAR, and IMU, into mobile robots designed for indoor mapping. Her responsibilities also include writing Python code for database integration in mobile robotics projects, showcasing her technical skills in programming and robotics.