Teams
Dr. Dalia Alnuaimi
Co-Founder and Chief Executive Officer (CEO)
Visionary leader with extensive experience in healthcare, technology, and strategy
Holds advanced degrees in strategic planning and management
Co-founded Sarai AI to drive AI-powered innovations tailored to the GCC region
Expertise in executing transformative projects with a focus on sustainability and client satisfaction
Eng. Sameera Alkhalifi
Co-Founder and Chief Technology Officer (CTO)
Seasoned technology strategist and AI expert with a proven track record in delivering scalable, customized solutions
Specializes in system architecture and seamless technology integration
Passionate about solving complex problems through AI innovations
Leads Sarai AI’s technical team, ensuring the delivery of cutting-edge solutions for diverse industries
Mohamad Meaari
Co-Founder and Chief Partnership Officer (CPO)
Strategic partnerships leader with deep expertise in public-private collaboration across the GCC
Extensive experience in building high-impact relationships in healthcare, energy, and government sectors
Joined SARAI to lead regional growth through trusted alliances and ecosystem development
Focuses on expanding SARAI’s presence through mission-aligned partnerships and scalable go-to-market strategies
Development Team
Our strength lies in a talented team of AI and technology experts, each bringing unique insights to every project. We also collaborate with strategic partners to expand our offerings and deliver exceptional results
Sarai AI Solutions is powered by a team of 50+ AI specialists with expertise across healthcare, education, retail, energy, and other sectors.
Our Team Includes
Computer Vision Engineers
Build AI systems that interpret visual data, photos, videos, and more. Applications include facial recognition, object detection, and technology that powers autonomous vehicles
Natural Language Processing (NLP) Engineers
Create AI systems that understand and respond to human language. They power tools like chatbots, virtual assistants, and text analysis platforms, helping businesses communicate and operate more efficiently
Data Analysts
Gather and analyze information to find patterns and insights. They create reports and visualizations that help businesses better understand their operations and make smarter decisions
AI Solutions Architects
Design and oversee AI implementations that align with a company’s goals. They act as a bridge between technical teams and business leaders, ensuring AI tools integrate smoothly into workflows and deliver value
AI-Integrated Software Developers
Add AI capabilities to software applications, enhancing their features. For example, they might integrate voice recognition into a mobile app or build recommendation systems into e-commerce platforms
Deep Learning Engineers
Specialize in advanced AI inspired by the way the human brain works. They design and train deep neural networks for complex tasks like image recognition, speech understanding, and decision automation
Data Scientists
Work with large amounts of information to uncover valuable insights and trends. They help businesses predict outcomes, solve problems, and seize opportunities using techniques like statistics, machine learning, and AI
Machine Learning (ML) Engineers
Focus on building systems that learn and improve with experience. They create and refine machine learning models to solve practical problems, such as recommending products and/or detecting fraud
AI Management Consultants
Advise companies on how to use AI effectively. They identify areas where AI can add value, create strategies for implementation, and ensure projects achieve measurable results
Generative AI Engineers
Design, develop, and deploy generative AI models that create text, images, or code, automate content generation, and integrate AI into client workflows to solve real business problems.
Big Data Engineers
Design and manage systems that process enormous amounts of information. They ensure data moves smoothly from sources to storage and is ready for analysis, enabling businesses to handle massive datasets efficiently
AI Engineers
Design and build smart systems that can analyze data, recognize patterns, and make accurate predictions. They use advanced technologies to create tools that automate tasks, improve decision-making, and boost business efficiency
AI Systems Engineers
Create and maintain the infrastructure needed to run AI solutions. They ensure the hardware, software, and networks work together seamlessly to deliver reliable performance
