ENGINEERING SERVICES: Software
Algorithms
SOFTWARE
ELECTRONICS
OPTICS
MECHANICs
FLUIDICS
DESIGN
production
systems

SOFTWARE ENGINEERING

Syprosoft has extensive experience with software design, development, and testing for desktop, web, mobile and embedded applications. Desktop environments include Windows, Linux and Mac. Web environments include AWS and Azure. Mobile environments include Android and iOS. Embedded environments include Windows IoT, FreeRTOS, QNX, and uC-OS. Development platforms include Visual Studio, Code Composer, Keil and IAR. Language skills include C, C++, C#, Python, Java, and scripting tools. Descriptions of some sample projects follow.
WindowsExtensive experience with developing user friendly and responsive Windows programs with technologies such as .Net, WPF and SQL.
LinuxDeveloped a tooth stability diagnostic system using a Linux and Qt platform. Developed automated tests for an Linux based endoscopic video system.
AndroidRequirements capture, risk analysis, and V&V for an Android tablet GUI. Developed an Android service to capture data from a wearable device for gait and posture tracking.
FreeRTOSDeveloped a prototype drug delivery system using the FreeRTOS for strict real-time and user initiated drug delivery and dosage control.
Windows IoTDeveloped an intensive care unit therapy system using a Windows IoT computer paired with a embedded microcontroller.
QNXDeveloped software and electronics for a remote control used during eye surgery. Device used Bluetooth Low Energy to interface with a QNX based host system.
AWSDeveloped software using the AWS platform for scalable capturing and tracking of diagnostic scans performed in hospitals for analysis and billing.
PythonUsed open source Python for building applications that are freely usable and distributable, even for commercial use.
PyTorch Used open-source deep learning library, that builds upon optimized, low-level implementations of deep learning algorithms and architectures,.
MONAI Used Medical Open Network for Artificial Intelligence for a prototype system to separate spinal trabecular bone from the cortical shell and predict fracture risk
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