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- Machine Learning, Data Science, Artificial Intelligence (AI) and Computer Vision.
- Research and Development (R&D).
- Lecturing, teaching and conducting training.
- Software engineering, development, architecture.
- Applications of technology, Machine Learning, AI, and Computer Vision to different domains such as business and industrial problems, human welfare, and software systems.
- Problem solving, planning, strategizing, critical analysis & thinking, presentation, communication, management and leadership.
- Professional writing and publication of papers, documents and books.