FlytBase
Amogh Bhagwat has a diverse work experience in the field of robotics and machine learning. Amogh currently works at FlytBase as a Lead Product Engineer, where they focus on developing and deploying intelligent drone applications for large-scale impact. Prior to FlytBase, they worked at Innovation Cell, IIT Bombay as a Technical Lead for the International Aerial Robotics Challenge, where they contributed to the development of autonomous quadcopters and implemented deep learning models for obstacle and target detection. Amogh also gained experience as a Machine Learning Intern at Quantiphi.
Amogh Bhagwat attended the Indian Institute of Technology, Bombay from 2016 to 2020, where they obtained a Bachelor of Technology degree in Mechanical Engineering. In July 2018, they also completed several certifications in the field of machine learning, including "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," and "Structuring Machine Learning Projects," from Coursera.
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FlytBase
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FlytBase is an enterprise-grade drone autonomy platform to fully automate aerial data collection workflows. With little to no human intervention, users can conduct scheduled and repeatable BVLOS drone flights using docking stations, all controlled from their remote command centers.