Summary
Audeliano Li is a data and AI engineering leader with 11 years of experience designing cloud-native, near real-time data platforms for investment and portfolio management. As a Tech Lead at Itaú, he has led teams of 11 engineers to deliver high-impact streaming and Data Mesh solutions using AWS (Iceberg, Glue Streaming, Kafka, Kinesis, Lambda) that cut data latency from hours to minutes while emphasizing FinOps, security and observability. He blends deep academic research in deep learning and robotics with hands-on production delivery, having published in international conferences and supervised student research. Pragmatic about business outcomes, he champions Analytics by Design and data democratization to improve customer experience and mitigate systemic risk. Notably, his background in autonomous robotics and time-series forecasting informs unconventional approaches to financial modeling and real-time analytics. Currently based in São Paulo, he focuses on building high-performance teams that turn advanced AI and data engineering into measurable strategic value.
11 years of coding experience
1 year of employment as a software developer
Doutorado Engenharia Elétrica (a finalizar), Doutorado Engenharia Elétrica (a finalizar) at Universidade Federal de Itajubá
English, Portuguese, cantonês