Summary
Jason Shi is a Corporate Sales Engineer and machine learning practitioner with 9 years of experience building end-to-end ETL pipelines, scalable ML models, and cloud data platforms across AWS, Azure, and Snowflake. He has delivered production ML and data engineering solutions for enterprises in biotech, retail, and energy—ranging from cGANs for protein interaction prediction to 12,000+ parallel time-series model pipelines and Neo4j graph ML for traceability. Equally comfortable in data stacks (Python, Spark, PyTorch/TensorFlow, Databricks) and blockchain tooling, he has built multiple Solidity dApps and contributed to major DeSol and DeveloperDAO projects. Based in San Francisco, Jason blends consulting rigor from Slalom with hands-on product work and a startup mindset from freelance crypto development. A less obvious strength is his ability to span research-grade model development and practical CI/CD, monitoring, and deployment at enterprise scale.
10 years of coding experience