Dan McCafferty
Co-Founder & CTO / Chief Architect at Mastermind Assistant | Conversational AI & Robotic Process Automation Platform
- Role
- Co-founder & CTO at Mastermind Assistant
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Dan McCafferty
Entrepreneur, innovator, software architect and technology thought leader that loves playing a hands on role, solving hard problems, working with emerging technologies and creating beautiful, innovative, secure, and scalable software that people love to use. Dan is currently the Co-Founder & CTO of Mastermind Assistant, a venture backed deep-tech company focused on voice, AI and the future of work. Prior to that, Dan was the Co-Founder & Chief Architect of Hit Wicket, an innovation consultancy focused on radical innovation heavy on AI/ML, algorithms, IoT and data stitching. In addition to being a deep expert in software development, Dan also developed a design mind with a strong focus on beautiful and usable user experiences during his 5+ years as Principal Software Architect at frog design, one of the world\'s leading innovation firms. At frog design, Dan worked with product designers to create some of the world\'s most cutting-edge innovations in the consumer electronics, finance, and health care fields. Prior to frog design, Dan worked at the several telecom startups where he architected and developed real-time service platforms that met the stringent up-time and performance demands of their tier-1 clients and were used by millions of users every day.
Experience
Co-founder & CTO
May 2016 — Present · Austin, TX, US
Co-founded a venture backed deep-tech company focused on voice, AI and the future of work. Participated in every aspect of the business. Responsible for product vision, architecture and development of a secure, compliant, highly available, highly scalable, multi-tenant, multi-workspace, enterprise-grade Conversational AI and Robotic Process Automation platform that saves knowledge workers time and effort by automating highly repetitive tasks and transforming everyday functions into quick exchanges over channels such as Amazon Alexa, Google Assistant and Slack. The platform processed millions of events daily generated by over users. Built a lot of proprietary technology because either the technology didn’t exist or we drove existing technologies to their limits.
Education
University of West Florida
Computer Science
1995 — 1997
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