Ayokunle Abisola
About Ayokunle Abisola
Ayokunle Abisola is a Robotics Remote Support Operator currently employed at SAGA ROBOTICS // THORVALD. He has a background in data science, coding instruction, and machine learning, with experience in developing AI algorithms and projects related to robotics.
Current Role at Saga Robotics
Ayokunle Abisola currently serves as a Robotics Remote Support Operator at Saga Robotics. He has been in this role since 2024, working in a hybrid capacity from Lincoln, England. His responsibilities include providing remote support for robotic systems, ensuring operational efficiency, and troubleshooting technical issues.
Professional Experience in AI and Robotics
Ayokunle has a diverse background in artificial intelligence and robotics. He previously worked at Scale AI as a Data Scientist specializing in AI Training since 2023. His experience also includes a role as a Python Developer at Turing, where he worked from 2022 to 2023. He has developed various AI algorithms and machine learning models throughout his career.
Educational Background in Robotics
Ayokunle Abisola earned a Master of Science in Robotics and Autonomous Systems from the University of Lincoln, completing his studies in 2023. Prior to this, he obtained a Bachelor of Technology in Physics from the Federal University of Technology Akure, where he studied from 2015 to 2021. His education has provided a strong foundation for his work in robotics and AI.
Projects and Innovations
Throughout his career, Ayokunle has contributed to several innovative projects. He created a facial expression recognizer using deep convolutional neural networks and developed a malaria cell classifier through image analysis techniques. Additionally, he designed and developed a delivery drone as part of his academic projects.
Early Career and Training
Ayokunle began his professional journey as a Graduate Trainee at Robotics & Artificial Intelligence Nigeria (RAIN) from 2020 to 2021. He later worked as a Robotics ML Engineer at the same organization from 2021 to 2022. His early experiences laid the groundwork for his expertise in machine learning and robotics.