Hi, I’m Zeeshan Khalid, a Computer Vision Engineer with 3+ years of experience deploying real-time CV systems across Safe Cities and national security projects. I’ve led teams to scale inference pipelines for 500+ RTSP streams on CPU, delivering reliable edge-device performance using PyTorch and related tools, while maintaining high uptime and efficient resource usage. I’m passionate about building robust ML pipelines, optimizing models for CPU deployments, and mentoring operators and teammates to achieve strong outcomes.
In my work, I focus on scalable architectures, cross-team collaboration, and clear monitoring to enable rapid, safe deployments. I enjoy translating complex CV intelligence into practical, real-world solutions and helping organizations reduce costs through CPU-friendly optimizations and automation.
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