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Jack Chang is a highly accomplished and results-driven technology executive 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-performing teams, delivering innovative software solutions, and driving significant business growth in competitive markets. Jack is passionate about leveraging emerging technologies like AI and cloud computing to solve complex challenges and create impactful products. He is known for his strong analytical skills, ability to translate technical concepts into business value, and his commitment to fostering a culture of innovation and collaboration.
Jack Chang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the design, development, and launch of a cutting-edge AI-powered analytics platform, resulting in a 40% increase in data processing efficiency and enabling new revenue streams for the company. The platform was recognized with an industry innovation award.
Successfully grew the engineering organization from 50 to 150+ engineers within two years, while maintaining high a bar for talent and fostering a positive, productive work environment. Implemented agile methodologies that improved development velocity by 25%.
Delivered a well-received keynote address on 'The Future of Ethical AI in Business' to an audience of over 2,000 industry professionals, thought leaders, and academics at the Global Tech Summit.
Played a pivotal role in securing $50 million in Series B funding by articulating the company's technology vision, product roadmap, and market potential to investors.
National Chiao Tung University - Year 2008
National Chiao Tung University - Year 2013
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Sophia Genetics is a healthcare technology company focused on Data-Driven Medicine. They provide a cloud-based platform (SOPHiA DDM™) that analyzes complex genomic and multimodal data to deliver actionable insights for clinicians and researchers, primarily in oncology, hereditary cancers, and rare diseases. Their goal is to democratize data-driven medicine worldwide.
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