Computer vision and QA automation for enterprise software
北京天桥 operates a sales-driven organization (16 sales roles vs. 9 engineering) with a deep investment in computer vision—PyTorch, TensorFlow, Keras, YOLO, Faster R-CNN, SSD across the stack—alongside traditional desktop and web tooling (Qt, Vue, C++). Active projects span object detection, image segmentation, and document OCR, while pain points cluster around test efficiency and channel expansion, indicating a shift toward scaling QA automation and regional distribution rather than product innovation.
Notable leadership hires: Test Lead, Sales Director, Industry Sales Director, Regional Sales Director
北京天桥 is a Beijing-based software services firm focused on quality assurance automation and computer vision applications. The company serves enterprise clients with testing infrastructure, test case design, and AI-driven image processing solutions (OCR, object detection, segmentation). Leadership structure emphasizes sales and testing roles (Sales Director, Regional Sales Director, Test Lead), with operations concentrated in China. Current focus is on reducing test cycle times, expanding regional market share, and building a channel partner ecosystem.
C++, Qt, PyTorch, TensorFlow, YOLO, Faster R-CNN, Vue.js, JavaScript, Linux, Windows, Git. The stack combines desktop/embedded (Qt, C++, ARM, MIPS) with modern deep learning frameworks and web frontends.
Object detection, image segmentation, document OCR, test automation tooling, and QA process optimization. Projects reflect both computer vision R&D and enterprise testing infrastructure.
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