Location: Wilsonville, Oregon Remote:Yes Willing to relocate:Only if work is at least 50 % Image Processing, Medical Imaging and/or Deep Learning NO Gen AI Technologies:DICOM, OpenCV, CUDA, C, C++, C# Python, NO Web APPS Résumé/CV:www.linkedin.com/in/microimaging Email:[email protected]

Expert software engineer with experience programming multi-threaded Windows XP/XPe/Windows 7,8,10,11 and Linux applications. I have used WPF/WCF/C#/C++/CLI .Net 3.x, 4.x,5.x, Win32 API, MFC, ADO, CUDA, OpenGL, DirectX, wxWindows and Linux. I am familiar with most of the Microsoft Foundation Classes associated with Visual C++ version 2008,2010,2017 , and STL and BOOST. Proficient or expert utilizing image processing algorithms, including kernel convolutions, the use of LUTs, JPEG 2000, OpenCV, 3D transformations, SIFT, SURF and other feature transforms. That coupled with my knowledge of real time video capture should make it very easy to quickly accomplish any task you wish of me. I have written and maintained several user level applications to provide complex information in an understandable and efficient fashion, along with necessary documentation on the operation, and limitations of the application. I am very conversant with several different database engines including Firebird/Interbase, and sqLite. I have utilized multi-processes Python for the last 12 years for scripting, OpenCV work, as well as creating cross platform GUI’s. Ever since Tensorflow nd pyTorch were open sourced, I have implemented from articles facial recognition, style transfer, inpainting, and denoising using convolutional neural networks I have 2 years of experience with QT 4 & 5

Patents currently accepted

7,854,510 Apparatus and method for imaging the eye

5,946,082 Interference removal 5,786,886 Interference removal 5,414,504 Interference removal 5,208,644 ; Interference Removal

5,138,149; Apparatus and Method for Monitoring Radiant Energy Signal with Variable Signal Gain and Resolution Enhancement

5,190,614; Method of Endpoint Detection and Structure Thereof

4,609,440 Electrochemical Synthesis of CH4 from CO2

4,609,441 Electrochemical Reduction of aqueous Carbon dioxide to methanol.