Summary
Shota Yasunaga is a software engineer based in Palo Alto with nine years of experience and a six-year focus on building production-grade machine learning systems that span data collection, model training, and server integration. He has shipped LLM agent frameworks, observability and monitoring integrations (OpenTelemetry, Prometheus), and robust inference services deployed in both AWS and on-prem environments. At C3 AI he designed an MCP client framework and standardized distributed context propagation and tracing into PostgreSQL, and at Omniscience he migrated Japanese documentation models to on-device/enterprise AI and built a dental X-ray computer vision solution. He pairs hands-on ML engineering with customer-facing technical support and CI/CD and SDK development, ensuring models are not just accurate but operationally reliable. Unusually for an ML engineer, his background includes neuroscience research and EEG analysis, which informs a strong experimental mindset and signal-processing intuition. Currently at Meta, he continues to drive scalable ML infra and production deployments.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Neuroscience with Honors/ Computer Science (through Harvey Mudd), Bachelor's degree, Neuroscience with Honors/ Computer Science (through Harvey Mudd) at Pitzer College
Computer Science, Computer Science at Harvey Mudd College
Summer School, System Neuroscience, Summer School, System Neuroscience at Semmelweis University
Kaisei high school
English, Japanese