Ken Winer is an experienced product and operations leader turned certified Co-Active coach who blends 12 years of cross-industry leadership with a hands-on maker's mindset in embedded systems. He has held senior roles from VP Product Management to COO across SaaS and insurance-adjacent companies, guiding teams in sales, marketing, and CRM transformation. Beyond executive leadership, Ken contributes technical expertise to open-source IMU projects (MPU9250/MPU6050), improving low-level sensor calibration and embedded integration for accurate motion sensing. Based in Danville, CA, he now focuses on one-on-one career and leadership coaching for adults, students, and early-career professionals, emphasizing empathy and practical, proven guidance. That combination of senior business strategy, technical tinkering, and formal coaching training gives him a rare ability to translate complex organizational challenges into personally actionable plans. Ken’s approach is centered on making measurable differences for individuals and organizations—one person at a time.
12 years of coding experience
11 years of employment as a software developer
Landmark Education
Certificate, Certificate at Selling to VITO
Certificate, Certificate at ACCLIVUS Sales Training
Co-Active Coach, Co-Active Coach at Coaches Training Institute
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at University of the Pacific
MBA, MBA at Georgia State University - J. Mack Robinson College of Business
Contributions:64 commits, 8 PRs, 9 pushes in 7 years 6 months
Contributions summary:Ken primarily worked on improving and updating the calibration and initialization routines for an MPU6050 inertial measurement unit (IMU) within an Arduino sketch. Their commits focused on enhancing the calibration process by incorporating internal accelerometer and gyro bias registers, as well as strengthening data types to prevent spurious results. They also addressed the device initialization process, ensuring a stable time source and device configuration.
Arduino sketches for MPU9250 9DoF with AHRS sensor fusion
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:124 commits, 7 PRs, 76 pushes in 4 years 6 months
Contributions summary:Ken's commits focus on improving the calibration functions within the MPU9250 sensor library, specifically to ensure compatibility with Teensy 3.1. This includes modifying data types to prevent incorrect calculations and enhancing the calibration routine. The changes suggest a focus on low-level sensor integration and optimization within an embedded environment. The user appears to be working on code related to an Inertial Measurement Unit (IMU) sensor.
ahrsimusensor-fusionarduino-sketchesfusion
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