Thinh Nguyen Quang

Senior IT student at Vietnam National University Ho Chi Minh City, University of Science (VNU-HCM HCMUS), with hands-on experience from an internship at Bosch developing AI-powered image detection systems and automated training pipelines. Passionate about building end-to-end vision systems spanning diffusion models, style transfer, and differentiable vector rendering. Looking to contribute to production AI teams and grow as a Computer Vision Engineer.

AI Engineer Intern at Bosch Global Software Technologies Company Limited (2025-05 – 2025-11)

Developed AI-powered image detection systems and automated training pipelines

• Developed few-shot learning module (IconSpotter) for UI icon detection and classification using SAM2 (detection) and DINOv3 (feature extraction), achieving high accuracy from a single reference image
• Built automated training pipelines (SwiftBoard) for rapid model adaptation, integrating data collection, quality validation, pre-labeling, and DANN-based domain adaptation, improving accuracy from 66% to 98% and reducing the adaptation cycle for each new board from weeks to hours
• Collaborated closely with test engineers to validate AI model performance, and real-time response efficiency
• Maintained scalable micro-AI services with improved efficiency

Honors Bachelor of Information Technology Program in Information Technology – University of Science, VNU-HCM (2022 – 2026)