Eurika Solutions helps organizations enhance productivity and make timely data-driven decisions through integrating AI and IoT into their workflows. We provide consultation, design, engineering and training services in machine learning, data analytics and IoT. We support full stack development for web, mobile, enterprise and cloud applications.
Our team members have decades of successful research, product development and consultation service experience in areas including machine learning, data analytics, cloud computing, embedded system design, IoT platform, computer vision, GPU programming, web security and etc. We are passionate in helping our clients flourish in AI + IoT era.
Meet The Team
CEO / Co-Founder
Prior to Eurika, Frank has over 20 years of R&D, management and consulting experience in developing media technology, video analytics, machine learning and SaaS products used by millions of users. He has a strong passion in helping enterprises and governments to successfully leverage IoT and AI technology to improve the well-being of citizens, workers and businesses. He has assembled a strong team with the shared vision and outstanding capabilities. He has a Master in Electrical Engineering from Stanford University and a BS in Computer Engineering from University of Wisconsin-Madison.
VP Engineering / Co-Founder
Andy's passion is in developing efficient, reliable, and scalable software. In the past 20 years, Andy has developed exciting technologies ranging from embedded systems to cloud computing to mobile apps. Some of these software have gone into products that serve over a hundred million customers. Andy has experience both as an independent contributor and as a manager. He has a Master's degree in Electrical Engineering from Stanford University, and a Bachelor's degree in Computer Science from University of British Columbia.
Peifung Eric Lam
Ryan Pedela has 20 years of experience in the software industry ranging from automotive system testing to biomedical research to computer graphics. He helped build and test products used by millions of people, and much of that experience included cleaning, managing, analyzing, and searching terabytes of data. He is now an expert in data engineering. Ryan has a B.S. in Computer Science and a M.S. in Computer Graphics from Purdue University.
Grant has worked with various type of data for the past 10 years. During his study of Ph.D. in Statistics at Stanford, he had provided consulting service to different students and professors in various fields, helping them to make sense of their data. After graduation, he worked at Google as a data scientist and was one of the leading member in developing Google Brand Lift, a service helping brands to quantify the effectiveness of their ad campaigns. Grant's expertise is in experimental design to help customers understand the true effect of their different "actions" so that better decisions can be made.