Taras Khalep Email & Phone Number

Toronto, ON, CA

Торонто, Онтарио, Канада

As a Solutions Architect, I specialize in understanding the unique needs and challenges everyone related to operations. My focus is on identifying and designing tailored solutions that align with their business objectives. I work closely with clients to ensure that the recommended solutions not only meet their needs but also integrate seamlessly into their.

Торонто, Онтарио, Канада

Spearheading the deployment of machine learning neural networks on edge devices, specifically NVIDIA Jetson Orin Nano/NX.Specializing in object detection, tracking, and classification tasks to ensure high accuracy and efficiency.Crafting intricate business logic to offer a versatile functionality tailored to cater to diverse real-world scenarios.

Remote

Collaborated on-site with the customer as part of a team to architect and build a highly scalable computer vision system, designed to meet demanding performance requirements. Played a key role in a team effort to design an advanced system that leverages 16 stereo cameras (both depth and BGR), projectors, and barcode scanners to capture and process visual.

Trained and Deployed Segmentation CNN.Real Time testingStack: Python, Pytorch, NumPyDataset collecting/labelingInference framework: PyTorch Lite, MNN, NCNNCNN architectures: Unet, DeepLab

Built an Android app from scratch and published it on Google play Store.Tested Real Time performance (60 FPS)Computer Vision: Facial Landmark Detection/Tracking, 3D Face warping, Pose Estimation, OpticalFlow, HOG (OpenCV)Deployed on edge devices using heterogeneous computing (GPU/CPU). Stack: C++, OpenCL/Vulkan.Created engine for rendering AR. Stack.

Украина, Киев

Implemented C++ algorithms for JNI layer of Android.

Чикаго, Иллинойс, Соединенные Штаты Америки

Worked on creating an engine to provide hints to the students while they would be playing chess and solving puzzles within the system.