Michael Kelly is a seasoned technology leader and innovator with over 18 years of experience specializing in software engineering, product development, and strategic team leadership. Based in San Francisco, California, he has a strong track record of successfully delivering complex, scalable software solutions and driving digital transformation initiatives in fast-paced environments. Michael is passionate about leveraging emerging technologies to solve real-world problems and is known for his ability to build and mentor high-performing engineering teams. He excels at bridging the gap between technical possibilities and business objectives, consistently contributing to significant growth and efficiency improvements.
Michael Kelly's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the end-to-end development and launch of a cloud-native SaaS platform that acquired over 100,000 users within its first year and received the 'Innovator of the Year' award from TechCrunch Disrupt.
Successfully grew and restructured the engineering department, increasing team size tenfold while improving development velocity by 40% and maintaining a high talent retention rate.
Authored and co-authored several influential papers and articles on distributed systems architecture and performance optimization, presented at international conferences like ACM SIGMOD and IEEE Cloud.
Played a pivotal role in articulating the technical vision and roadmap that was instrumental in securing $25M in Series B funding for a previous startup.
Connecticut College - Year 2006
Phillips Exeter Academy - Year 2005
Duxbury Public Schools - Year 2001
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Snowflake Inc. is a cloud computing-based data warehousing company. It offers a cloud-based data storage and analytics service, generally termed 'data warehouse-as-a-service', allowing corporate users to store and analyze data using cloud-based hardware and software. Snowflake's platform enables various data workloads, including data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
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