Mike Kim is a results-driven and innovative technology leader with over 15 years of experience in software engineering, product management, and strategic leadership. He has a proven track record of building and scaling high-performance engineering teams, delivering complex software products from ideation to market, and driving technological transformation in fast-paced environments. Mike is deeply passionate about leveraging emerging technologies like AI, machine learning, and cloud computing to solve real-world problems and create impactful user experiences. He is known for his strong analytical skills, ability to bridge the gap between technical and business stakeholders, and his commitment to fostering a culture of collaboration and continuous learning.
Mike Kim's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led a cross-functional team of 20+ engineers, designers, and product managers to develop and launch a flagship SaaS product, acquiring over 10,000 enterprise users within the first year and generating $5M ARR.
Spearheaded the migration of legacy on-premise infrastructure to a scalable, resilient cloud-native architecture on AWS, resulting in a 40% reduction in operational costs and a 70% improvement in system uptime.
Co-invented and patented an AI-powered recommendation engine that personalized user content delivery, leading to a 25% increase in user engagement metrics for a major digital platform.
Delivered a keynote address on 'The Future of Ethical AI in Product Development' to an audience of over 500 industry professionals, sharing insights and best practices.
The University of British Columbia - Year 2009
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Mycroft AI is known for developing an open-source, privacy-respecting voice assistant. It aimed to provide an alternative to proprietary voice assistants like Alexa or Google Assistant, allowing users and developers to customize and control their voice technology and data. The technology can run on various hardware, from single-board computers like Raspberry Pi to dedicated smart speaker devices. Mycroft emphasized user data ownership and transparency in its operations.
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