At the core of our AI company is a dynamic and multidisciplinary team of researchers, engineers, and innovators who are deeply committed to advancing the field of artificial intelligence. With backgrounds in machine learning, data science, computer vision, natural language processing, and cognitive science, our team brings together a powerful blend of academic knowledge and real-world experience. We are united by a shared mission: to push the boundaries of what’s possible with AI through cutting-edge research, ethical development, and impactful training solutions.
Our team thrives on curiosity, collaboration, and a relentless pursuit of excellence. Whether it’s developing new algorithms, refining deep learning models, or publishing in top-tier journals, we stay at the forefront of AI innovation. We also invest heavily in training the next generation of AI talent, offering educational programs and workshops that bridge the gap between theory and practical application. Together, we are not just building intelligent systems—we are shaping the future of AI for the betterment of society.
The GenAI Trainings USA Team chart presents a collaborative structure integrating business leadership, AI research, and technical development. Led by the CEO, the organization includes key leaders such as Jennifer Adams, Arshad Mohammad, Dr. Iftikhar, and Momina Kanwal, who oversee strategic and operational functions across regions.
The research division is supported by experts including Dr. Maqbool, Nisar Khan, Dr. Iftikhar Hanif, and Dr. Aftab Cheema. The core R&D team, led by Shahriyar Zama, consists of data scientists, engineers, and developers driving AI innovation and solution development. Training and HR functions are supported by consultants and specialists such as Abdullah Nasim and Habiba Nasim.
Momina Kanwal serves as Managing Director – Pakistan, leading operations and strategic growth across the region while ensuring alignment with global objectives.
Key stakeholders include Business, Data & AI, and IT teams, with responsibilities focused on collaboration, resource coordination, and support for AI-driven initiatives.
