Located in beautiful Vancouver, British Columbia, we are a team of veteran engineers with a unique combination of high impact industry experience, Machine Learning expertise, and entrepreneurial spirit. We are passionate about combining the right mixture of bleeding-edge technology with robust and pragmatic engineering to deliver results and create real value for our customers.

Yavar Naddaf

Yavar Naddaf

Yavar excels at pragmatically bridging the gap between new research and technology and what adds value in the industry. Over a decade of building his own startups, working with other startups and consulting for a wide range of small and large organizations has taught him the hard balancing act of incorporating new technology to solve customer problems. Yavar has a Masters degree in machine learning and artificial intelligence from the University of Alberta. He was the original creator of Arcade Learning Environment, and his thesis work with Michael Bowling on domain-independent AI agents that learn to play Atari games laid the foundation for more recent work from groups like Google DeepMind and OpenAI. His industry experience include building and deploying large-scale web applications serving millions of users, training and deploying production AI models, and advising a range of clients on how to best incorporate big-data and AI technologies.

David Matheson

David Matheson

With a unique combination of expertise in data science, software engineering and management, David has the rare ability to fully comprehend a complex big-data and AI project on every single layer: from how floating point precision impacts throughput on the gpu, to how hundreds of terabytes of data is processed on a Spark cluster, to identifying the KPIs for measuring the ROI of the project. David completed a MSc in machine learning at UBC under the supervision of Nando de Freitas with a focus on random forests and deep learning. His industry experience spans from lead engineer at EA, to building cutting-edge AI features in a university grown startup and architecting and overseeing the development of petabyte scale analytics infrastructures for Empirical Results clients. David has repeatedly demonstrated great leadership, including building and leading teams of engineers and data scientists, steering R&D initiatives, and building and executing on roadmaps to reach long term strategic objectives.

Qing Yi Li

Qing Yi Li

Qing Yi is a Machine Learning Engineer with a combined major in Computer Science and Statistics. She has a diligent and methodological approach to experimental research as well as a deep understanding of advanced ML/AI concepts. When she is not running terabyte-scale AI experiments, Qing Yi enjoys photography and calligraphy.

Join Us!

Are you passionate about the emerging revolution in scalable computing, big data, machine learning and artificial intelligence? Do you take pride in your work and enjoy working with people who challenge each other to attain the best results? Come join us! Drop us a line at: info@empiricalresults.com.

Unlock the value in your data with data science, AI, and end-to-end engineering