Summary
Nathan Chang is a software engineer with nine years of experience building scalable media and cloud systems, currently contributing to Meta's Video Infrastructure team in the San Francisco Bay Area. He has deep hands-on experience across backend services, large-scale data pipelines, and media tooling—having improved ingestion efficiency, search accuracy, and developer workflows at Gracenote and built real-time stream highlight and browser-based video editing tools at SoopahGenius. Comfortable across Golang, Python, AWS, Terraform, and machine-learning toolkits like PyTorch, he blends systems engineering with applied signal/audio processing to solve tricky multimedia problems. As a former startup co-founder and scrum lead, he pairs technical delivery with cross-functional leadership and a knack for product-minded automation. Outside engineering he combines interests in music and magic, bringing a creative, audience-focused perspective to software features.
10 years of coding experience