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Mansur Tumambaev

@Mansur

Computer Vision Engineer / ML Ops

I am a computer vision and MLOps engineer specializing in creating reliable artificial intelligence solutions based on microservices.

About

My experience includes the full development cycle: from creating user data and annotating to training YOLO models, fine-tuning text recognition and deploying scalable services using Docker. I am passionate about model compression, quantization (PTQ), and faster inference using ONNX Runtime.

Career

Experience: 2 years

Experience

Junior CV Engineer

PBSOFT LLC

Jul 2024 — Present

Built document and identity computer-vision workflows involving detection, OCR, APIs, and browser-based ONNX inference; the document-processing integration reduced manual moderation.

• Collected and annotated a dataset, and trained YOLO to detect key elements (seals, coats of arms, inscriptions) for a draft document classification system for the Ministry of Defense of the Republic of Kazakhstan. • Developed a FastAPI REST API to process multipage PDF, JPEG, and PNG files. The solution was integrated into the system and reduced manual document moderation. • Fine-tuned Tesseract OCR on a custom dataset with Kazakh and Russian Cyrillic. • Developed a synthetic data generator for IIN, ID, dates, and full names, varying font, lighting, and noise.

Education

Bachelor's Degree, Computer Engineering and Software (ICT)

L.N. Gumilyov Eurasian National University

2022 — 2026

Skills

Computer VisionPyTorchYOLOOpenCVFastAPIDockerONNXMLOpsImage SegmentationObject Detection