Ricardo De Lima
Infrastructure Consultant at Thoughtworks
Paraná, Brazil
Summary
👤
Senior🎓
Top SchoolRicardo De Lima is an infrastructure consultant and DevOps engineer with a PhD in Bio-Inspired Computing and 11 years of experience bridging academic research in evolutionary computation with hands-on cloud and automation work. He has built and operated CI/CD pipelines, Kubernetes clusters, Terraform-managed AWS infrastructure, and workflow automation for product teams, bringing a researcher’s rigor to pragmatic infrastructure design. Comfortable developing in Python and Rust, he pairs ML expertise (TensorFlow, Scikit-Learn) with production-grade tooling like Docker, Airflow, and Bash to streamline delivery and observability. His career spans startups and consulting, where he has led self-service platform initiatives and end-to-end environment management from dev to production. Notably, he translates complex optimization and meta-heuristic insights into scalable automation patterns that improve reliability and developer productivity. Based in Paraná, Brazil, he’s keen to apply both academic depth and operational experience to challenging infrastructure problems.
11 years of coding experience
3 years of employment as a software developer
Sandwich Ph.D, Artificial Intelligence, Sandwich Ph.D, Artificial Intelligence at University of the Basque Country - UPV/EHUPh.D, Bio-Inspired Computing, Ph.D, Bio-Inspired Computing at Federal University of ParanáBacharelado, Computer Science, Bacharelado, Computer Science at Universidade Estadual do Centro-Oeste
Portuguese, English, Spanish, Italian
Github Skills (26)
python10
evolutionary-algorithms10
keras10
tensorflow10
yaml10
mysql9
multiplayer9
youtube9
server9
deep-neural-networks9
game-development9
cross-platform8
aws8
devops7
secrets7
Programming languages (10)
Github contributions (5)
rhrlima/loltwitterbot
Feb 2017 - Mar 2022
A Simple Twitter bot to recommend picks for LoL
Contributions:8 PRs, 30 pushes, 3 branches in 5 years 1 month
twitter
rhrlima/cbioge
Aug 2018 - Sep 2022
Grammar-based evolutionary algorithm for designing deep neural networks
Contributions:593 commits, 10 pushes, 1 branch in 4 years 1 month
deep-neural-networksevolutionary-algorithmsautomatic-designgrammatical-evolutionkeras
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