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ZS

Zhandos Sapargaliuly

@Zhandos

Computer Vision Engineer | Python, PyTorch, OpenCV, YOLO | Deep Learning & Machine Learning

I am a Computer Vision and Python developer focused on building end-to-end video analytics and object detection pipelines. I work with PyTorch, OpenCV, and YOLO models, covering everything from dataset preparation to real-time inference optimization.

Career

Experience: 10 years

Experience

Computer Vision Engineer

Freelance

Jan 2025 — Present

Develops and open-sources computer vision pipelines, trains YOLO/PyTorch models, and builds desktop and video-streaming applications.

• Designed and trained detection models using YOLO and PyTorch for custom industrial datasets. • Built PyQt-based desktop applications and low-latency video streaming pipelines. • Integrated and benchmarked models on GPU/WSL2 environments, publishing source code to GitHub.

Graphic Designer

Parliament of the Republic of Kazakhstan

Kazakhstan's national legislature.

Sep 2023 — Present

Creates visual materials, infographics, presentations, and digital assets for state initiatives and official communications.

Motion Designer

galmart Jeti Aspan

Jan 2022 — Aug 2023

Produced 2D/3D motion graphics, promotional videos, and visual assets for commercial media projects.

Graphic Designer

Qazaq Radiolary

Jan 2019 — Dec 2021

Created branding, marketing collateral, cover art, and visual identity assets for radio broadcasts and digital platforms.

Prepress & Graphic Designer

Local Print House

Jul 2016 — Dec 2018

Handled prepress, layout design, and production of promotional, commercial, and editorial print materials.

Education

Management

Almaty State Business College

2014 — 2016

Skills

Computer VisionPyTorchOpenCVYOLOMediaPipeTensorRTONNXTriton Inference ServerDockerFastAPILinuxGitGitHubC/C++Embedded vision systemsCamera tracking logic