Rodina Bassiouny

• Processed inbound and outbound technical support calls
• Split this text into meaningful sentences at a 20% faster rate than team average
• Demonstrated strategic acumen by understanding and promoting cutting-edge technology, leading to a 15% increase in product adoption in multiple clinics, contributing to a revenue increase of $150,000 approximately
• Analyzed market segments to analyze new business opportunities to expand existing customer base significantly.

Fine-tuning YOLO, RCNN, fRCNN and RetinaNet models to detect Lung Ultrasound (LUS) features with the highest achieving 86.4% mAP.

• Distributed AI, deep learning and computer vision solutions.
• Presented talks on specific projects, problems currently under consideration, importance of projects and breakdowns of outcomes versus objectives.
• Studied new technologies to support machine learning applications.
• Devised and deployed predictive models using machine learning algorithms to drive business decisions.
• Incorporated video data to understand and translate complex business problems into machine learning problems.