The only source of knowledge is experience
Generative AI Applied Science Leader
As a leader in AI, Machine Learning and particularly GenAI space, this role involves solving complex business problems using ML and AI, leading teams of specialists, advising senior executives, and building strong relationships with stakeholders. Responsibilities include designing and executing challenging data programs, leading complex transformation projects, developing new business and revenue streams, and manipulating and analyzing high-volume data from various sources.
Artificial Intelligence Leader, Associate Director
As a leader in AI, Machine Learning and particularly GenAI space, this role involves solving complex business problems using ML and AI, leading teams of specialists, advising senior executives, and building strong relationships with stakeholders. Responsibilities include designing and executing challenging data programs, leading complex transformation projects, developing new business and revenue streams, and manipulating and analyzing high-volume data from various sources.
Head of Applied AI Research
As a leader at Group 42, the role involves managing a team of AI Applied Sciences, working on problems under both Artificial Narrow Intelligence and Artificial General Intelligence, and developing a comprehensive AI platform. Key responsibilities include leading the implementation of research products, maintaining client relationships, coordinating proof-of-concept and pilots, developing product roadmaps, driving customer success outcomes, and managing customer lifecycle from onboarding to renewals.
Cognitive and Analytics Practice Leader
At IBM, the role involved transforming Cognitive and Analytics in the MEA region by building a team focused on long-term partnerships and guiding clients towards data-driven organizations. Responsibilities included technical pre-sales, leading a team of ML researchers and engineers, strategy development, presenting at international conferences, developing academic curriculum for Data Science programs, and mentoring aspiring data scientists and ML experts.
Data and Statistics Strategist
In this role, various ML algorithms were used to optimize call-streams and analyze large amounts of data to identify anomalies, with the implementation of analytical solutions like predictive analytics and segmentation analysis. Leading a team of researchers, the primary task was to automate these processes.
As a member of the Biometric Iris and Facial recognition R&D team, the role involved developing techniques for image processing, quality metrics, segmentation, feature extraction, and image classification.
Lecturer, MS Data Science
Taught Machine Learning, Deep Learning, Data Science, and Cognitive Computing.
Visiting Lecturer, MS Data Science
Tught Introduction of Data Science and Cognitive Computing
Co-Instructor, B.S. Computer Science
Co-Instructor of Data Structures and Arti cial Intelligence