Alaa Alnasef

Focused on developing software solutions for a variety of devices including HelpyOops and other innovative products.

• Worked on new technologies such as Ultra wide band (UWB).
• Leveraged expertise in Deep Learning and Machine Learning to pioneer development of smart sensor nodes for predictive maintenance, enhancing equipment reliability and efficiency.
• Applied proficiency in embedded systems, PCB design, and microcontrollers to create robust, efficient, and user-friendly products tailored to meet client needs.
• Collaborated closely with cross-functional teams of engineers, technicians, and clients to ensure quality and functionality of devices, fostering culture of innovation and excellence.
• Actively engaged in research and development initiatives to stay abreast of emerging trends and technologies, driving continuous improvement and innovation within organization.

Updated the HelpyOops fall detection algorithm utilizing advanced deep learning methodologies.

• Achieved impressive accuracy rate of 99.38% with inference time of 25ms, surpassing benchmarks set by previous studies.
• Spearheaded creation of novel dataset tailored for training deep learning models, ensuring robust and reliable performance.
• Successfully implemented deep learning model on hardware-limited environments, demonstrating adaptability and efficiency.
• Prepared comprehensive reports and documentation to effectively communicate results and insights to senior management, facilitating informed decision-making and project direction.

Managed maintenance and operation of 4 generations of Gambro hemodialysis machines (AK95, AK96, AK98, AK200 Ultra) and Prismaflex, Spectra Optia systems. Conducted regular and emergency maintenance operations 7 days a week.

• Oversaw maintenance reports and cards for 47 devices, ensuring accurate documentation and organization.
• Provided expert phone consultations for 6 hospitals, resolving technical issues and optimizing equipment performance remotely.
• Assessed and adjusted settings on 100 hemodialysis machines to enhance performance and longevity.
• Conducted equipment and safety checks in 2 hospitals, ensuring compliance with regulatory standards.
• Designed and fabricated clamp testing and priming detector boards for AK96 machines, utilizing locally available resources.
• Repaired and maintained over 40 priming detector and clamp boards, 20 control and protective CPU boards, 50 FM boards, and various other components.
• Trained 2 service engineers on operation and maintenance of hemodialysis machines, enhancing team capabilities.
• Developed "AMRO" Android application for calibrations and maintenance data logging, streamlining processes and improving efficiency.
• Installed 2 AK98 devices at IbnAlnafis Hospital and 3 at Dier Ezzor Hospital, ensuring proper functioning and integration within hospital systems.
• Enhanced soldering and desoldering skills over 3 years to proficiently handle equipment repairs and modifications.