Miracle Zhang
work

Work Experience

Engineering experience in computer vision and enterprise IT, spanning research-to-production pipelines.

Jul 2025 — Present

AI Product Developer (Computer Vision)

Virtual Map (Australia) Pty Ltd

Lead the end-to-end design, training, and deployment of production-grade computer vision models for road segmentation and object detection, built from the ground up with modern deep learning frameworks.

  • Own the full lifecycle of the production road-segmentation and object-detection models — from architecture selection and training strategy through to release. Technical deep-dives live on the Projects page.
  • Build and maintain end-to-end ML infrastructure including data pipelines, distributed training, model evaluation, and deployment on cloud GPU clusters.
  • Work closely with stakeholders to translate product requirements into practical AI solutions and quantifiable performance metrics.
PyTorch Computer Vision DINOv3 / Swin Transformer Model Deployment
Nov 2024 — May 2025

Microsoft SCCM Support Engineer

Shanghai Wicresoft (Microsoft's first joint venture in China)

Provided enterprise-level technical support for Microsoft System Center Configuration Manager, serving global enterprise customers.

  • Troubleshot and resolved complex software distribution, patch management, and OS deployment issues across large-scale enterprise environments.
  • Implemented and tuned group policies, compliance settings, and security baselines for global enterprise clients.
  • Led cross-functional root cause analysis and implemented preventive measures, reducing recurring incidents.
  • Authored internal knowledge base articles and best-practice guides adopted across the global support team.
SCCM Microsoft Enterprise Troubleshooting Root Cause Analysis