Michael Costa Email & Phone Number

I am a cross-disciplinary engineering leader and architect with over 20 years of industry experience delivering products in the medical, IoT, wearable, and robotics spaces. I also have over 11 years of experience building and leading high-output, multidisciplinary engineering teams, successfully launching products from concept to delivery in notable organizations such as Nike, Whoop, Shark (Vacuums), and SimpliSafe. I bring a full-stack systems perspective to harmonize product architecture, strategic vision, and customer needs resulting in world class products loved worldwide. With a background in computer systems engineering, I specialize in architecting, and designing high-quality, high-volume, real-time, embedded applications integrating technologies such as low power, sensor integration, computer vision, machine learning, and signal processing. 22+ years of industry experience11+ years of engineering management and leadership10 years of startup experience9 years in the health and wearable space4 years of FDA 510k medical development projects1.5 years in the consumer robotics space5 years in the engineering consulting space12+ years of CM, JDM, ODM, OEM partnership experience9+ years of low power machine learning applications on the edge3+ years of computer vision applications on the edgeSpecialties:IoT, robotics, medical, health, wearables, cameras, embedded systems, systems engineering, firmware, full stack (from screws to cloud protocols,) motor control, biometric sensors, low power, battery powered, wireless, RF, WiFi, Bluetooth, SubGHz, TCP/IP, Thread, Matter, Zigbee, real-time firmware, RTOS, signal processing, component selection, SoC, communications protocols, manufacturing fixture development, manufacturing, DFM, FDA, JIRA administration, Monday.comProduct innovation, engineering leadership, JDM, CM, ODM, OEM, organizational planning, scaling teams, product management, testing, high-volume design, cross disciplinary leadership, program management, project management, resource allocation, strategic planning, partner relationship management, startupsExperience working closely with:Machine learning, Computer vision, VSLAM

Listed skills include Embedded Systems, Embedded Software, Firmware, Software Development, and 18 others.

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  University Of Massachusetts Amherst

  Computer Systems Engineering