I am Ahmed, a recent computer science graduate from the
American University of Sharjah (AUS), based in the United Arab Emirates.
Currently, I am mainly interested in computer vision, neural
networks, and biomedicine. I served as a Computer Vision Research
Assistant guided by Prof.
Omar Arif
at AUS. I also worked as a Data Science Intern at Petrofac.
When I am not coding, I like to travel and explore new places, play
padel,
and work out.
You can contact me at
akv3 at outlook dot com.
• Collaborated with researchers at different universities to
work on projects within the field of computer vision.
• Explored the intersection of computer vision and biomedicine,
focusing on developing new methods for medical imaging analysis.
• Rotated through Data Engineering, AI/ML, and Business
Intelligence teams, acquiring versatile skills across key
technology domains.
• Developed a RAG-based chatbot utilizing Petrfoac's internal
data that achieved an 88% cost reduction and a 6% performance
improvement compared to Petrofac's existing solutions.
• Designed and developed various web projects for SEHA's
intranet portal.
• Automated the creation of websites using web scraping and
automation techniques, resulting in time and resource savings.
• Assisted professor in grading assignments and exams.
• Collaborated with professor to develop and improve course
material and activities.
• Provided technical support to faculty and staff for software
and hardware issues.
• Troubleshot issues with computers, printers, and other
equipment.
• Worked on special projects as needed, including software
installations and upgrades.
A reliable yet computationally efficient approach for the task of teeth diagnosis with a pre-trained deep learning model for feature extraction and a traditional machine learning algorithm for classification. The empirical approach followed resulted in a record accuracy for the target dataset.
