Summary
Sergio Esteves is a senior software engineer and researcher based in Lisbon with 12 years of experience building highly scalable, data-intensive systems for academia and industry. He combines deep expertise in NoSQL stores, geo-replication consistency models, wide transactions and cache prefetching with practical production experience at companies like Cloudflare, Oracle and Feedzai. His PhD work and research roles at INESC-ID and IST focused on adaptive stream processing, resource-accuracy trade-offs and scalable window state management, bridging machine learning with systems design. Comfortable moving between research and product delivery, he has repeatedly translated novel data-mining and ML techniques into systems-level optimizations for throughput, latency and memory efficiency. Notably, his background reflects both low-level storage protocol innovation and higher-level dataflow execution models, making him effective at architecting end-to-end big data platforms.
12 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Computer Science and Engineering, Master of Science (MSc), Computer Science and Engineering at Instituto Superior Técnico
English, Spanish, Portuguese