Summary
Zubair Shaikh is a software engineer in data with 13 years of engineering and teaching experience, currently building ML-driven image classification, synthetic data toolkits, and AutoQA systems at Apple. He combines full-stack skills (Django, Node, .NET, React/Angular) with hands-on ML expertise in TensorFlow/Keras and data pipelines handling GB/TB-scale multimodal datasets. At Apple he has shipped internal web tools, CI/CD deployments, and automated data-quality pipelines that reduced manual review overhead. A former instructor and top-rated tutor, he brings a strong mentorship and curriculum-design background that sharpens product usability and team onboarding. Outside of work he is a competitive programmer and hackathon enthusiast who enjoys code-golfing and rapid bug-fixing, reflecting a taste for elegant, efficient solutions. Based in Boston, he pairs an MS in Computer Science with a proven track record of turning complex ML research and large-scale data engineering into production-ready systems.
13 years of coding experience