Spencer Huang is a software engineer based in the San Francisco Bay Area with 8 years of experience building scalable systems and AI-infused tooling across startups and enterprise teams. He blends hands-on ML work (TensorFlow, Keras, LSTM) with cloud-native engineering—migrating services to AWS, containerizing with Docker/Kubernetes, and automating infra via Terraform and Ansible. At Groupon he led a Kubernetes migration that doubled availability and cut infrastructure costs by half, and he has prototyped microservice-driven internal tools and SOX-compliance integrations. Comfortable across the full stack (Python, Java, React, SQL) and observability stacks like Kibana, Spencer also teaches core programming courses and has applied research experience in wearables-based health prediction. Curious and methodical, he focuses on efficiency and reproducibility in code, testing, and deployment—often turning prototypes into production-ready solutions.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Applied Computer Science, Bachelor of Science - BS Applied Computer Science at Allegheny College
Master's degree Management Information Systems General, Master's degree Management Information Systems General at Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Assessment Sheet for Computer Science 203 Spring 2019
Contributions:31 PRs, 41 pushes, 6 branches in 13 days
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