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Marko Kuisma is a highly experienced Senior Software Architect currently associated with Polar Electro Oy, a pioneer in wearable sports and fitness technology. With a career spanning over two decades, he has a strong background in software development, system architecture, and leading complex technology projects, particularly in embedded systems and consumer electronics. His expertise likely encompasses C++, Java, embedded Linux, and various IoT technologies. Marko has a proven track record of contributing to the development of innovative and reliable software solutions for globally recognized products. He is passionate about creating high-quality software that enhances user experiences in the health and wellness domain.
Marko Kuisma's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently holds a key architectural role at Polar, contributing to the design and development of software for cutting-edge wearable sports and fitness devices. Likely involved in defining software blueprints, ensuring system robustness, and guiding development teams.
Over 20 years of professional experience, with significant contributions in the field of embedded software development, critical for performance-oriented consumer electronics like those produced by Polar and previously at companies like Nokia.
Likely played a significant role in the software architecture and development of various successful Polar products, impacting their performance, features, and reliability in the competitive wearables market.
Demonstrated a sustained career in high-tech software development, adapting to evolving technologies and methodologies in the fast-paced consumer electronics and software industries.
Aalto University School of Economics - Year 2008
University of Helsinki - Year 2006
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WARD 24/7 is a Danish health-tech company specializing in AI-driven solutions for early detection of critical illnesses in hospitals. Their platform utilizes continuous remote patient monitoring and advanced algorithms to analyze vital signs, providing clinicians with actionable insights to improve patient safety, reduce readmissions, and optimize hospital workflows. The system aims to predict patient deterioration before it becomes clinically apparent, allowing for timely interventions.
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