Intelligence for complex infrastructure
Vireco models how interconnected systems behave across airports, data centers, and other complex infrastructure, then improves decisions across their existing controls.
Meet the team
Leadership
Arvin Kilambi
Founder & CEO
Leads corporate development, investor relations, partnerships, and GTM. Formerly with TribalScale across enterprise AI/software strategy and sales.
Daniel B. Oliyarnik
Founder, President & CTO
Leads Vireco's technical development, system modeling, and product architecture. Electrical engineer (University of Waterloo) with experience in grid operations, quantitative analysis, forecasting, Python analytics, and CYME modeling.
Engineering
Alex Dunyak
Machine Learning Engineer
PhD in Electrical Engineering from McGill with research in probabilistic modeling, reinforcement learning, stochastic optimization, and large-scale control. His experience includes research at McGill and NYU, C++ robotics-control development at MIT, and statistical modeling at ViaSat. At Vireco, he focuses on machine learning, optimization, and control.
Alex Soliman
Systems Engineer
Experience includes solutions engineering at Amazon, production software development, and university research in Python and machine learning. His background spans systems architecture, containerized edge deployment, API integration, real-time orchestration, and Docker. At Vireco, he focuses on platform and systems engineering.
Md Sirajum Munir Prince
Machine Learning Engineer
MSc in Computer Science with published research in deep learning, graph neural networks, few-shot learning, and robust federated learning. His experience includes graph-ML development with Python, PyTorch, TensorFlow, and PyTorch Geometric, plus full-stack systems using ASP.NET Core and SQL Server. At Vireco, he focuses on machine learning and graph-based methods.
