Summary
Andrew Tom is a data-driven founder and full-stack data professional building AI agents for financial services, currently co-founding Banker AI while incubating multidisciplinary projects at Frisson Technologies. He combines hands-on MLOps and ELT experience with cloud-native analytics—designing CI/CD for end-to-end ML workflows, delivering observability for executives, and shipping data products on platforms like dbt, Snowflake/Databricks, and AWS. His background in geospatial and time-series financial data informs novel context-enriched LLMs that leverage GraphRAG and vector stores for domain-specific retrieval. Past roles at dbt Labs and Moody’s Analytics reflect a track record of moving advanced analytics into production for CRE and risk use cases. He also brings climate risk, AgTech research, and nonprofit leadership into product thinking, bridging environmental science with fintech. Based in Oakland, he’s a futurist and coffee enthusiast who enjoys marrying infrastructure-as-code with MLOps for embedded and civic tech applications.
4 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Environmental Science and Management, Bachelor’s Degree Environmental Science and Management at University of California, Davis
Certificate Data Science and Machine Learning, Certificate Data Science and Machine Learning at Metis