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guanjeuntin

GUANSTIN

@guanjeuntin

Lead AI Developer ML Engineer

Italie
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I am an AI-powered iOS developer with over 7 years of experience specializing in ARKit, LiDAR depth sensing, and CoreML. I bridge the gap between complex machine learning research and production-ready apps for healthcare and insurance sectors. My expertise includes building intelligent OCR pipelines and real-time computer vision systems using Swift and Python.... Plus d’infos

Compétences

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guanjeuntin
GUANSTIN
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Développement multiplateforme
I will build ios lidar bim floor plan scanner, ai insurance ocr claims app
Développement d'applis iOS
I will do lidar point cloud ios invoice ocr automation ios lidar forest biomass app

Expérience professionnelle

ISIC

Senior iOS Developer

ISIC • Temps plein

May 2018 - Present8 yrs 2 mos

Architected and shipped production iOS apps using ARKit and LiDAR depth sensing for spatial mapping, object measurement, and real-time scene reconstruction. Built CoreML-powered computer vision pipelines for on-device inference — object detection, classification, and defect/anomaly recognition — optimized for mobile performance. Designed intelligent OCR systems combining Vision framework, custom CoreML models, and Python-based preprocessing for document digitization and data extraction workflows Delivered HIPAA-aware healthcare applications, including clinical measurement and documentation tools built on ARKit's depth APIs. Developed insurance-sector automation tools, including claims documentation, damage assessment via LiDAR scanning, and automated form/data extraction via OCR. Worked across the full ML-to-production pipeline: model training/conversion (Python, TensorFlow/PyTorch → CoreML), on-device integration (Swift), and UI/UX for technical and non-technical end users. Collaborated directly with healthcare and insurance industry clients to translate domain requirements into reliable, App Store-ready software