Michael Edegware

Michael Edegware is an accomplished software engineer with extensive experience in various roles, notably at Tufts University, Dell EMC, Google, and RightHand Robotics. Edegware has demonstrated expertise in software development, machine learning, and educational instruction. Key achievements include the development of an IFTTT event-driven Android application, a novel procedure for bone and teeth anomaly detection utilizing reinforcement learning, and a machine learning model for robotic knowledge transfer. Edegware holds a Bachelor's Degree in Mechanical Engineering and Computer Science from Tufts University and a Master's Degree in Artificial Intelligence from The Johns Hopkins University, both accompanied by high academic honors. Additionally, experience includes teaching programming and mentoring students in summer projects, showcasing a commitment to education and community engagement.