Applied AI and machine learning
Turning QGI's model and product direction into dependable software systems that can operate across public, specialist, and private-AI environments.
VP Engineering & Co-Founder
A technical leader building the scalable systems behind QGI's AI products, specialist intelligence, and private-AI deployments.
Waseem Sammane leads engineering across QGI's AI-driven product platform.
As VP Engineering and Co-Founder, Waseem directs the development of robust, scalable systems that turn artificial-intelligence and machine-learning capabilities into practical products. His work connects model development, systems architecture, real-time data processing, and technical delivery.
His technical experience includes distributed systems and advanced algorithmic-trading infrastructure, where reliability, latency, data integrity, and operational discipline are central engineering concerns.
Waseem also brings technical project-management experience to complex initiatives. He keeps engineering work aligned with business objectives while setting expectations for code quality, system reliability, and performance optimization.
Turning QGI's model and product direction into dependable software systems that can operate across public, specialist, and private-AI environments.
Designing robust foundations for real-time data processing, system integration, and performance-sensitive workloads.
Aligning engineering priorities with business objectives while maintaining high standards for code quality, reliability, and delivery.
Build systems that remain reliable as products and workloads scale.
Translate AI and machine-learning capabilities into maintainable product architecture.
Keep technical execution aligned with customer and business requirements.
Treat performance, observability, and code quality as product requirements.