Kerem Ozkan is a seasoned technology leader and software architect with over fifteen years of experience in designing, developing, and deploying scalable software solutions and distributed systems. He has a strong background in cloud computing (AWS, Azure), microservices architecture, and DevOps practices. Kerem is passionate about leveraging cutting-edge technologies like AI and Machine Learning to solve complex business problems and drive innovation. He has a proven track record of leading high-performing engineering teams, fostering a culture of collaboration, and delivering impactful products from conception to launch. Kerem is adept at bridging the gap between technical intricacies and strategic business objectives, making him a valuable asset in fast-paced, agile environments.
Kerem Ozkan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully designed and led the architectural overhaul of a major e-commerce platform, improving system scalability by 200% and reducing latency by 40%, directly contributing to a 15% increase in conversion rates.
Pioneered the development and implementation of a novel AI-powered recommendation engine that increased user engagement by 25% and average order value by 10% within the first six months of deployment.
Authored several influential articles on modern software architecture and presented key findings at international technology conferences, such as [Fictional Tech Summit Europe] and [Global DevOps Forum].
Recognized for outstanding mentorship and dedication to team development, significantly contributing to the growth and skill enhancement of junior engineers.
UC Irvine - Year 2010
UC Irvine - Year 2005
UC Irvine
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Soar Robotics is a technology company that develops SoarOS, an AI-powered software platform designed to enable autonomy and connectivity for off-highway vehicles and industrial machinery. Their solutions aim to transform existing equipment into intelligent, remotely manageable, and data-generating assets, targeting sectors like agriculture, construction, and mining. Users can benefit from enhanced operational efficiency, safety, and automation capabilities without needing to replace their current fleets.
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