Doctoral Student & Project Researcher at University of Vaasa
Vaasa, Ostrobothnia, Finland
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Summary
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Venna Bonda is a doctoral student and robotics researcher with eight years of hands-on experience building ROS-based autonomous systems, specializing in computer vision, deep learning, and mechatronics. She has delivered ROS navigation, SLAM and GUI solutions for AGVs in industrial settings and has taught robotics using LEGO platforms, demonstrating both practical implementation and pedagogy. Her academic path—bachelor’s and master’s in mechatronics and a Udacity Self-Driving Car credential—reflects a commitment to learning from first principles and lifelong reskilling in AI and autonomy. Venna blends firmware-level C/C++ and Python development with system design in SolidWorks and MATLAB, and has completed focused certifications in deep learning and PLCs. Based in Vaasa, Finland, she now combines doctoral research with industry-grade robotics engineering, often seeking cross-disciplinary problems that bridge simulation, perception and control.
8 years of coding experience
1 year of employment as a software developer
Self Driving Car Engineer, Automotive Engineering Technology/Technician, Self Driving Car Engineer, Automotive Engineering Technology/Technician at Udacity
Master’s Degree, Mechatronics, Robotics, and Automation Engineering, Master’s Degree, Mechatronics, Robotics, and Automation Engineering at Amrita Vishwa Vidyapeetham
Doctor of Science, Mechatronics, Robotics, and Automation Engineering, Doctor of Science, Mechatronics, Robotics, and Automation Engineering at University of Vaasa
Bachelor’s Degree, Mechatronics, Robotics, and Automation Engineering, Bachelor’s Degree, Mechatronics, Robotics, and Automation Engineering at Vignan Institute of Technology and Science
Secondary Schooling Certificate, Secondary School, Secondary Schooling Certificate, Secondary School at Hamsavahini vidyalaya
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Venna Bonda - Doctoral Student & Project Researcher at University of Vaasa