Summary
Andre Simpelo is a data scientist with 11 years of experience applying deep learning and computer vision to real-world problems, currently working at Booz Allen Hamilton in California. He blends research rigor from academic work on EMG-driven robotic arm control with hands-on engineering mentorship from his time guiding 120+ students in Udacity’s Self-Driving Car program. Comfortable moving models from experiment to application, he focuses on creative, transformative uses of ML across domains from medicine to autonomous systems. A lifelong learner with formal training in deep learning and mathematics, he pairs TensorFlow-based research experience with practical deployment sensibilities. Beyond code, Andre is also a luthier, bringing a maker’s attention to craft and design into his engineering practice. His profile signals a practitioner who thrives at the intersection of research, teaching, and applied ML innovation.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science and Mathematics, Bachelor of Science (B.S.), Computer Science and Mathematics at San Francisco State University
Deep Learning Specialization, Deep Learning Specialization at Coursera
Nanodegree, Deep Learning, Nanodegree, Deep Learning at Udacity