J. Bradford Kain - Founder & President
Brad Kain founded Quoin with Jean Pierre LeJacq in 1994. A proven technologist with a multidisciplinary background in mathematics and computer science, he has successfully delivered a broad range of large-scale projects as a system architect, project lead, and engineering manager.
Advertising, Big Data, Business Intelligence, Data Analysis, E-Commerce, Government, Language Processing and Search, Media Monitoring, Mobile Application, Online Media, Open Source, Publishing, Retail, Social Media, Social Networks, System Architecture
Agile, Formal Methodologies, Project Management, Project Planning, Requirements Analysis, Risk Management, Scrum, User Stories
Certified Scrum Master (CSM)
SGML & Markup Languages
- Founded Quoin in 1994 to provide technology consulting for web-based and distributed systems, and has led the company as technology and our consulting services have evolved.
- Responsible for business development, strategic client relationships, and internal investment in service and product
development for Quoin.
- Created a sales and marketing organization to support the continuing growth of the firm.
- Provide consulting to clients on full-lifecycle development processes and process improvement initiatives.
- Principal consultant for strategic planning and assessment engagements with major clients in the US and UK.
- Management responsibilities include staff recruitment, coaching, and professional development.
- Responsible for key technology relationships, including the Industrial Internet Consortium (IIC).
- Responsible for financial management of the firm.
- Recognized expert in agile and lean development practices.
- Advocate for open source software and has helped multinational organizations adopt open source for system acquisition.
- Speaker at industry events such as the Gilbane Conference, Boston CTO Club, OOPSLA, and others.
- Reviewed manuscripts on software engineering and emerging technologies for The MIT Press.
- Co-founder and Chief Scientist for PublicRelay, where he is responsible for strategic relationships with technology and academic partners in machine learning. Current focus is on development of predictive models for social sharing.