Professional Journey
The only source of knowledge is experience
The only source of knowledge is experience
Albert Einstein
Albert Einstein
Industry
Industry
Artificial Intelligence Leader, Associate Director
Artificial Intelligence Leader, Associate Director
Data & Analytics
Data & Analytics
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.
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
Head of Applied AI Research
Smart Nations
Smart Nations
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.
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
Cognitive and Analytics Practice Leader
Global Business Services
Global Business Services
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.
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
Data and Statistics Strategist
Data Analytics Division
Data Analytics Division
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.
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.
Senior Software Engineer
Senior Software Engineer
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.
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.
Academia
Academia
Lecturer, MS Data Science
Lecturer, MS Data Science
Taught Machine Learning, Deep Learning, Data Science, and Cognitive Computing.
Taught Machine Learning, Deep Learning, Data Science, and Cognitive Computing.
Visiting Lecturer, MS Data Science
Visiting Lecturer, MS Data Science
Tught Introduction of Data Science and Cognitive Computing
Tught Introduction of Data Science and Cognitive Computing
Co-Instructor, B.S. Computer Science
Co-Instructor, B.S. Computer Science
Co-Instructor of Data Structures and Arti cial Intelligence
Co-Instructor of Data Structures and Arti cial Intelligence