DeepLearni.ng originated as a secret lab for machine learning research at one of Canada’s largest banks. Through a transformative series of use cases, DeepLearni.ng’s team of experts demonstrated deep learning’s powerful potential for business to the bank’s senior executives. DeepLearni.ng’s work at the bank broke new boundaries with one of the first successful deep learning deployments in retail banking.
Powered by momentum from their early successes, DeepLearni.ng’s team left the lab to explore new opportunities in 2016. Since then, we have developed new relationships with executives from the world’s top corporations, helping them reach new heights by identifying powerful applications for deep learning in their organizations.
DeepLearni.ng helps business leaders become experts on deep learning’s applications for the enterprise.
With support from our team at every step of the way, learn how to identify deep learning’s strengths and limitations, define powerful use cases and ensure a sustainable ROI.
Equip your enterprise with the tools needed to generate deep learning momentum in your enterprise.
Fusing business mastery with technical expertise, DeepLearni.ng’s bespoke models reinforce your organization’s existing infrastructure to generate powerful new solutions.
With the right knowledge and tools in place, you and your team will be ready to wield deep learning’s power independently.
Discover revolutionary perspectives on your enterprise operations as a result, and launch new initiatives designed for the pace of our rapidly changing and complex world.
A team of creative experts in both technology and business.
Stephen is a technology entrepreneur and a very mediocre computer programmer. He studied Computer Science at the University of Toronto and spent a summer studying artificial intelligence at Stanford in the early 2000s (a time when neural networks were barely acknowledged).
Since then, Stephen has started tech businesses on both sides of the Atlantic that have been featured in WIRED, Fortune and The Wall Street Journal. Between startups, he also designed trading algorithms for the world’s largest hedge fund. Stephen tried to be a VC once—he was fired in less than two months.
Eric Lee graduated from the University of Toronto with a PhD in Physics. A passion for deep learning emerged from years of experience with computer simulations, big data, and mathematical modelling.
Eric sometimes returns to his researcher roots to academically dissect the latest deep learning research, but these days primarily focuses on uncovering business applications for DeepLearni.ng partners. Molded by his academic past, Eric is a patient and avid educator: he thoroughly enjoys teasing apart complex concepts into simple pieces, and believes there is no better way to learn than to teach.
Ragavan has been putting deep learning into production since the deep learning revolution of 2012. He grew up in Toronto and studied at the Lassonde School of Engineering, where he graduated at the top of his class.
Ragavan is also a NEXT Canada alum, and has developed entrepreneurial expertise from some of Canada’s top entrepreneurs and professors from Harvard, MIT and the Rotman School of Management. Since then, he has founded deep learning startups that apply deep learning to real-world problems. In his spare time, Ragavan continues to refine a rap album first conceived in 2015, titled May Your Idols Become Your Rivals.
Vincent has over 10 years of banking experience, specializing in IT infrastructure and vendor risk management. His areas of expertise include identifying optimal technology solutions for business requirements and capturing holistic views of vendor relationships for C-suite executives. Setting into motion DeepLearni.ng’s origins as a secret machine learning lab at one of Canada’s largest banks, Vincent helped the team earn their knowledge stripes across several verticals in the industry.
Vincent excels at augmenting the strengths of those around him, creating a more valuable whole from very talented pieces. Invested in deep learning’s applications for business, Vincent is equally passionate about deep learning’s potential to effect positive transformations in our society.
Head of Deep Learning Development
Prior to joining the DeepLearni.ng team, Matthew earned his PhD in Physics at the University of Toronto’s Centre for Quantum Materials. He was also a management consultant for McKinsey & Company, where he helped business leaders from a diverse range of industries leverage disruptive technologies to generate business growth.
Merging his theoretical and applied expertise, he now works closely with business leaders to unlock latent value from their data using deep learning models. Building on his previous experience as a consultant, Matthew fosters understanding about what today’s deep learning technologies can and cannot do, and how they translate to business impact.
Chief of Technology
Victor studied computer science, math and physics at the University of Toronto and quickly developed a career in hardware, networking engineering and IT security at places including SUN Microsystems, HSBC and Shaw Media.
Victor later transitioned to the startup world, and now contributes his experience and expertise at DeepLearni.ng. In his spare time, Victor dedicates countless hours teaching his craft to the Toronto community, all while co-founding and running Data for Good, a not-for-profit with over 2,500 volunteers across Canada.