Jonathan Huang is a Staff Software Engineer in San Francisco with over a decade of experience building scalable, secure systems across big tech companies including Netflix, Google, Meta, Amazon, and Microsoft. He combines expert-level C#, .NET, Java and C++ proficiency with advanced skills in Python, Ruby, Go, ML/NLP (TensorFlow, PyTorch), and cloud platforms (AWS, GCP, Azure) to deliver production-grade microservices and data-driven features. At Google he focused on BigQuery, Kubernetes and CI/CD for large-scale ML workloads, and at Netflix he blends full‑stack development with cybersecurity and IoT integration. Jonathan is fluent in container orchestration and infrastructure-as-code (Terraform, Docker, Kubernetes) and has deep experience with Hadoop, Spark and both SQL and NoSQL datastores. He prefers contracting via 1099/LLC and brings a Stanford CS degree (3.91 GPA) along with a track record of turning complex research-grade ML models into reliable, deployable services.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science - BS, Computer Science, GPA: 3.91, Bachelor of Science - BS, Computer Science, GPA: 3.91 at Stanford University
Contributions:216 commits, 112 PRs, 65 pushes in 2 months
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