Summary
Lucas Fonseca is a Lead Data Scientist and AI architect with a PhD from Stanford and nine years of experience building production-grade, low-latency data platforms for finance and consumer products. He has led end-to-end data architecture and ML efforts—designing streaming pipelines with Kafka, Flink, Pub/Sub and orchestrating workflows on Airflow/Databricks—powering autonomous trading agents and real-time balance processing at scale. Lucas blends deep research in AI for financial markets with hands-on engineering leadership, mentoring teams and defining technical standards that translate models into resilient, auditable systems. He’s repeatedly shipped systems that marry batch and real-time processing, and publishes technical content to push industry best practices. Based in São Paulo, he’s equally fluent in cloud-native operations and product-aligned AI strategy, with a track record of turning novel research into investor-facing, revenue-driving automation.
9 years of coding experience
13 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Stanford University
English, Portuguese, Spanish