Filippe Spolti is a senior software engineer with 13 years of experience specializing in cloud-native infrastructure, Kubernetes, and AI inference platforms, currently maintaining KServe at the CNCF and leading work in Red Hat’s OpenShift AI group. He blends deep back-end Java expertise—demonstrated by significant contributions to WildFly, WildFly Core and Kogito—with MLOps-focused work on KServe, fixing CVEs, improving GCS file handling, and hardening production paths. At Red Hat he’s driven cloud enablement, operators and container image strategies for business automation products (jBPM, Drools, Kogito) and has acted as tech lead bringing those platforms to OpenShift. He’s an active Apache committer and open-source maintainer who pairs hands-on code changes (from remoting cache fixes to protobuf serialization and test automation) with operational engineering for Kubernetes deployments. Based in Minas Gerais, Brazil, he combines infrastructure ops roots (enterprise backups, virtualization and high-availability) with modern AI/ML deployment tooling, making him effective across the full stack from low-level systems to model serving. An under-the-radar strength is his consistent focus on test automation and configurability, which has repeatedly improved stability across both middleware and ML inference projects.
13 years of coding experience
1 year of employment as a software developer
Bachelor in Information Systems, Information Technology, Bachelor in Information Systems, Information Technology at Universidade de Uberaba
Graduate, Specialization in Software Engineering, Graduate, Specialization in Software Engineering at Faculdade Pitagoras
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:
MLOps Engineer
Contributions:355 reviews, 44 PRs, 548 comments in 1 year 5 months
Contributions summary:Filippe primarily focused on addressing vulnerabilities and ensuring the security and stability of the KServe platform. Their contributions involved updating dependencies to address CVEs, including those related to Go libraries and protobuf. They also implemented changes to improve the handling of file paths and added support for downloading single files from GCS. Additionally, the user updated example and resolved issues related to Ray Serve.
Kogito Runtimes - Kogito is a cloud-native business automation technology for building cloud-ready business applications.
Role in this project:
Back-end Developer
Contributions:157 reviews, 10 commits, 20 PRs in 3 years 2 months
Contributions summary:Filippe primarily contributed to the Kogito Runtimes project by addressing issues related to code generation and protobuf serialization. Their work involved modifying code in various Java files, including those related to code generation, testing, and marshalling. Furthermore, they made updates to the Quarkus Kubernetes addon, addressing issues such as service discovery in native mode. The user demonstrated a strong understanding of the Kogito framework and its integration with Quarkus and Kubernetes.
kogitoknativebusiness-automationrule-enginedrools
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