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David is an accomplished executive with expertise in technology strategy and Artificial Intelligence, with over 15 years of experience serving the world's largest enterprises. He currently focuses on deploying Artificial Intelligence across diverse industries, catering to Fortune 500 clients worldwide.
David brings extensive experience in designing machine learning products using cutting-edge approaches to build applied AI solutions at scale. He is a graduate of École Polytechnique in Montréal and ESSEC Business School in Paris.
Jordan is an experienced Data Scientist with a Ph.D. in Computational Neuroscience from University of Toronto.
He has extensive experience with training production-ready AI models in challenging environments that solve complex problems and transform the operations of end-users.
With a rich background in data consulting and agile product management, Rahul has masterfully guided scrum teams, refined processes, and employed design thinking to enhance product offerings.
Passionate about spurring innovation and AI, Rahul thrives on drawing insights from data and applying sharp business acumen.
Alina is a versatile professional with a global outlook shaped by a rich array of experiences. Throughout her career, she has been dedicated to creating value by harnessing technology for clients.
Her expertise lies in connecting the intricacies of the technical and business languages, ensuring effective communication, understanding, and value for our clients.
Jonathan is an experienced engineering leader who has built high-performing teams and delivered scalable, customer-focused solutions across startups and enterprises. He has led digital transformation initiatives that align technology with business strategy to enhance delivery and accelerate growth.
With broad technical expertise and industry experience - including procurement, energy, insurance, and education - Jonathan brings a versatile, results-driven approach that drives efficiency and fosters innovation.
Ayoub is a Junior Data Scientist with a blend of academic research and applied industry experience. He holds a research-based Master’s from the Université du Québec à Rimouski, where he focused on applying machine learning to solve real-world problems across various industries.
As a visiting researcher at Mila - Quebec AI Institute, he deepened his expertise in advanced AI techniques. With a foundation in industrial engineering, Ayoub brings a systems-oriented perspective to building intelligent, scalable solutions.
David has been practicing data science and ML since studying Physics at the University of Toronto, and has since worked across different AI startups.
Some of his work involved biometric authentication and fraud detection, in addition to implementing Retrieval Augmented Generation workflows for Large Language Models involving various semantic and lexical search techniques. His business-facing product experience allows him to effectively interpret and communicate high-level requirements into practical technical solutions.
Vinicius is a seasoned data scientist and a PhD in Industrial Engineering from Polytechnique Montréal. He specializes in building and deploying advanced optimization and AI models to address complex, real-world challenges across industries and academia.
His expertise spans the development of optimization models for applications such as power grid planning, vehicle routing, and scheduling, as well as the creation of production-ready AI models, including time series forecasting solutions and LLMs. Complementing his strong analytical skills, Vinicius is also an experienced software developer, adept at translating sophisticated algorithms into robust, scalable systems.
Vahid is a Senior Full-Stack Developer with over a decade of experience designing and optimizing scalable, high-performance web applications. Specializing in microservices, event-driven systems, and cloud-native architectures on AWS and Kubernetes, he has led initiatives in marketing automation, personalization, and data-driven customer engagement for large-scale platforms.
His expertise spans backend services, modern frontend development, and DevOps automation, with a strong track record of delivering business-critical systems for companies like SSENSE, Elixir, and multiple startups.
Vivi is a dynamic finance professional with global experience in entertainment, tech, and consulting, who thrives at the intersection of strategy, analytics, and leadership.
She has managed multimillion-dollar budgets, audited with RGCT, and led financial innovation across North America, Europe, and Africa. An HEC Montréal graduate and avid traveler, Vivi blends analytical rigour with creative problem-solving to craft strategies that drive growth and performance.
Evan Rimer is a junior data engineer completing his MASc in Electrical Engineering at Queen’s University.
His work centers on building agentic systems that let software plan, reason, and act. He’s driven by turning cutting-edge research into practical, scalable products.
Loubna is a Research Chair Professor of Artificial Intelligence for Supply Chain Management at Université du Québec à Rimouski (UQAR).
Her work applies machine learning and operations research to data-driven decision-making, with a focus on sustainable supply chains, climate risk mitigation, and industrial process digitalization. She leads projects, serves on committees, and publishes in international journals.
Professor Richards, a distinguished scholar with affiliations to MILA, Google DeepMind, and a D.Phil. graduate from Oxford University, has profoundly impacted the field of Computational Neuroscience through the use of Artificial Intelligence.
His illustrious career brims with pioneering advancements and pivotal contributions to the field of neuroscience and the AI industry.
Miguel is Chair of Operational Research at the University of Edinburgh, specializing in mathematical optimization for large-scale problems.
Active in organizations like EUROPT and INFORMS, he has contributed significantly to the development of smart grids, integrating power systems with two-way flows of energy and information.
Okan Arslan, Ph.D. in Industrial Engineering from Bilkent University, is an Assistant Professor of Decision Sciences at HEC Montréal. His research in operations research and transportation science spans large networks to last-mile delivery, earning awards like the Prix Nouveau Chercheur and Best Application Paper.
He also ranked among the top in Amazon’s Global Last Mile Routing Research Challenge with MIT.
Michel Gendreau is a leading scholar in applied mathematics, operations research, and optimization. A Professor at École Polytechnique de Montréal and Adjunct Professor at the University of Montreal, he has directed major research centers like CIRRELT and the Transportation Research Center.
Since 1984, he has published over 400 articles, advancing fields from logistics and networks to energy system optimization and industrial process modeling.
As a strategic tech leader and innovator, Lalit specializes in driving digital transformation for Fortune 500 companies.
With a track record of successfully leading transformative projects across diverse industries, he has built customer-focused development teams that facilitate seamless innovation and propel organizations towards their goals.
With nearly two decades of global experience as a principal consultant, Max has made significant contributions to the growth of multiple technology companies.
As a former strategy consultant he advised Fortune 500 companies. Additionally, he successfully built and scaled technology organizations, which achieved a remarkable IPO within a span of a few years.
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