Hi, I’m Kudaibergen “Kuda” Urinbayev, an AI Engineer with a track record of delivering production AI projects as a freelancer across multiple domains. I own the full lifecycle from discovery and model training to deployment in regulated and real-world environments. I enjoy turning complex problem statements into robust, scalable solutions and collaborating with early-stage teams to ship value quickly. My background spans computer vision, embedded AI, medical imaging, and LLM-powered SaaS systems. I thrive on building end-to-end systems, from data pipelines and model serving to frontend dashboards and customer-facing SaaS tooling, while balancing performance, reliability, and compliance requirements.

Kudaibergen Urinbayev

Hi, I’m Kudaibergen “Kuda” Urinbayev, an AI Engineer with a track record of delivering production AI projects as a freelancer across multiple domains. I own the full lifecycle from discovery and model training to deployment in regulated and real-world environments. I enjoy turning complex problem statements into robust, scalable solutions and collaborating with early-stage teams to ship value quickly. My background spans computer vision, embedded AI, medical imaging, and LLM-powered SaaS systems. I thrive on building end-to-end systems, from data pipelines and model serving to frontend dashboards and customer-facing SaaS tooling, while balancing performance, reliability, and compliance requirements.

Available to hire

Hi, I’m Kudaibergen “Kuda” Urinbayev, an AI Engineer with a track record of delivering production AI projects as a freelancer across multiple domains. I own the full lifecycle from discovery and model training to deployment in regulated and real-world environments. I enjoy turning complex problem statements into robust, scalable solutions and collaborating with early-stage teams to ship value quickly.

My background spans computer vision, embedded AI, medical imaging, and LLM-powered SaaS systems. I thrive on building end-to-end systems, from data pipelines and model serving to frontend dashboards and customer-facing SaaS tooling, while balancing performance, reliability, and compliance requirements.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent
Russian
Fluent
French
Intermediate

Work Experience

Freelance AI Developer at BuildFast.studio
February 1, 2024 - Present
Delivered end-to-end AI/SaaS projects (discovery → scope → build → deploy → support) for early-stage teams and SMEs. Built GuardKOR.com, a compliance-check SaaS including authentication, billing, dashboards, workflows, and AI-assisted analysis. Developed automated scraping, enrichment, and summarization pipelines for an AI-driven telecom newsletter. Shipped PostCultural (AI audio guide), including production deployment and App Store release.
Co-founder & CTO at Polyvision.ai
May 1, 2024 - February 1, 2025
Developed an edge-AI automated sports filming system. Deployed YOLO-based computer vision models for real-time detection and tracking on embedded NVIDIA Jetson devices. Implemented low-latency WebRTC video streaming and AI-driven PTZ camera control. Led hardware–software integration and production-ready system architecture.
Founder in Residence at Entrepreneur First
October 1, 2023 - December 1, 2023
Spearheaded an AI radiology startup, managing product development and strategy. Conducted extensive customer research with over 30 doctors and competitive analysis in the medical AI field. I understood the regulatory, scalability, and sales challenges in Medtech and AI space.
Machine Learning Engineer at Raylytic
November 1, 2022 - September 1, 2023
Implemented and maintained MLops processes, including microservice maintenance and CI/CD, ensuring compliance with ISO 13485 and MDD/MDR standards. Conducted performance tests on X-ray imaging for multiple studies to evaluate and improve multi-stage parameters estimation pipeline. Significantly improved the ICC metric of spine parameter estimation algorithm from 0.65 to 0.84.
Master Thesis Student at iThera Medical
January 1, 2022 - July 1, 2022
Thesis Title: Deep learning based Reflection Artifact Detection and Removal in Optoacoustic Imaging (OA). Implemented U-Net based segmentation for reflection artifact on data annotated by specialists, as well as synthetically generated data. Developed custom image artifacts annotation software to improve efficiency of labeling and data management.

Education

MSc in Medical Imaging and Applications (Erasmus Mundus Joint Master Degree) at Erasmus Mundus Joint Master Degree programs – University of Burgundy; University of Cassino; University of Girona (France/Italy/Spain)
September 1, 2020 - August 1, 2022
BSc in Robotics and Mechatronics at Nazarbayev University, Astana, Kazakhstan
May 1, 2016 - May 1, 2020
MSc in Medical Imaging and Applications (Erasmus Mundus Joint Master Degree) at University of Burgundy; University of Cassino; University of Girona
September 1, 2020 - August 31, 2022
BSc in Robotics and Mechatronics at Nazarbayev University
May 1, 2016 - May 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services