Summary
Alexey M is a Next Generation Sensor Algorithms Engineer with a decade of experience applying adaptive and nonlinear control, system identification, and digital signal processing to real-world sensor fusion problems. Currently at Apple, he brings deep expertise in calibration and fusion of accelerometer, gyroscope and magnetometer data from prior roles at InvenSense and long-term research in adaptive control and ensemble Kalman filtering from his University of Michigan PhD. He has a proven record of improving algorithm performance—e.g., imposing convex pole constraints to cut transients by 70% and settling time by 50%—and of shipping embedded navigation systems that materially improved vehicle efficiency. Comfortable across hardware/software boundaries, he codes end-to-end solutions and even wrote Fortran interfaces and Matlab/Python tooling for large-scale assimilation experiments. Based in San Diego, he also runs the Valter project on GitHub/YouTube, signaling a practical passion for sharing applied sensor and robotics work beyond the lab.
10 years of coding experience
6 years of employment as a software developer
BSEE, Electrical Engineering, 4.00, BSEE, Electrical Engineering, 4.00 at Michigan Technological University
PhD, Aerospace Engineering, PhD, Aerospace Engineering at University of Michigan
ASA, Mechanical Engineering, 3.97, ASA, Mechanical Engineering, 3.97 at Northwestern Michigan College
Russian, English