• 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.