
Konstantin T.
About Me
Senior programmer with extensive experience of progressive software development and research. Strong analytical/mathematical background. Master of Science. Author of 12 scientific papers focusing on numerical methods.
Senior programmer with extensive experience of progressive software development and research. Strong analytical/mathematical background. Master of Science. Author of 12 scientific papers focusing on numerical methods.
Decrease MS Teams power consumption, using GPU for frames composition and image segmentation (VideoProcessor, CUDA, etc.). Watermarks implementation (both CPU and GPU). Design and development debug and testing utilities. Leading video verification project. Work mostly on Windows (x64, x86, ARM8). Did some testing and debugging on Mac. Mitigation and resolving bugs and incidents, Work on-call. Tools used: Visual C++, Visual Studio, Direct X, CUDA, multithreading.
Real time video segmentation, including separation feet from a float. Data from both depth and color cameras were used. Worked as a single contributor. Comparing various depth cameras. Tools used: C++, CUDA, YOLO, OpenCV, multithreading, DNN.
Design and implemented software for AR/VR research and 3D scenes reconstruction based on seria of 2D pictures using multicores CPU and GPU (CUDA). Converting code from Nvidia CUDA GPUs to Intel CPUs Tools used: Linux, C++, Python, CUDA, OptiX, multithreading, OpenCV.
Developed new features for orthodontics and the UI for parameter control.
Optimized shapes of the features to create the best experience for patients.
Improved the performance and quality of 3D mesh generation.
Built depth maps based on 2D pictures using machine leaning.
Developed stereo landscape visualizations based on NASA WorldWind and parsed using Open3D building data.
Created stereo landscape visualizations based on Google Earth.
Designed and implemented an algorithm for finding cutting pairs in linear time.
Developed an algorithm for finding separation pairs in linear time.
Composed an algorithm that discovers cutting triplets in near linear time.
Improved heuristics for graph-coloring algorithms.
Designed and implemented 2D and 3D visualization systems for GIS.
Built optimization structures for a data exchange which resulted in a 1000% acceleration.
Implemented the dynamic creation of 3D objects and developed effective methods for their selection.
Designed and implemented software for AR/VR research and 3D scene reconstruction.
Checked the quality of reconstruction using Ray tracing.
Accelerated tests by 400% without losing quality as well as incorporating additional tests.
Converted code from Nvidia CUDA GPUs to Intel CPUs.
Developed a Python script to create depth maps from 2D pictures.
Implemented CNN models on Windows 10 and Linux platforms.
Utilized AWS servers for training the model.