Luca Cavallin

Designing and delivering cloud-native platforms for AI workloads and modern distributed systems, helping engineering teams build reliable, observable, and scalable production environments. - Lead the design and implementation of platform infrastructure across cloud environments using Kubernetes, Terraform, and managed cloud services (Google Cloud, AWS, Scaleway), enabling teams to deploy and operate applications - including AI and LLM-backed services - safely at scale. - Establish platform foundations around networking, observability, and runtime operations to support both traditional distributed systems and agent-based AI workloads, improving reliability, incident response, and operational visibility. - Build backend and platform tooling in Go, Rust, Python, and TypeScript to automate infrastructure, integrate platform components, and improve developer experience - including tooling for LLM API orchestration and MCP-based agent connectivity. - Design AI infrastructure primitives such as LLM gateways, model serving on Kubernetes, agent observability, and cost and quota management, bringing platform engineering practices to the operational demands of production AI systems. - Partner with engineering and platform teams through architecture guidance, hands-on implementation, and technical leadership to accelerate cloud adoption, platform maturity, and the safe rollout of AI capabilities in production.

Contributed to the development of GitHub Actions by building backend services, platform infrastructure, and developer-facing features, with a focus on scalability, reliability, and observability of distributed systems serving millions of developers - including the growing volume of AI and ML pipelines that run on Actions. - Designed and maintained OIDC authentication, metrics, and runner lifecycle management services using Go, Kubernetes, and Azure, providing secure and scalable execution infrastructure for one of the most widely used CI/CD platforms in the industry. - Enhanced observability and reliability with distributed tracing, telemetry, and Datadog monitoring, driving faster incident resolution and more resilient systems across high-throughput backend services. - Improved engineering practices through automation, release strategies, and code quality standards, reducing deployment errors and accelerating delivery across a team of 20+ engineers. - Drove knowledge sharing via internal talks and documentation on distributed systems and platform engineering - including practical patterns for AI-assisted development from extensive day-to-day Copilot use - while mentoring engineers and fostering cross-team alignment on best practices.

Designed and implemented cloud-native solutions for clients on Google Cloud, focusing on distributed systems, DevOps practices, and enabling engineering teams to build reliable, scalable platforms. - Built and delivered scalable cloud-native architectures on Google Cloud, improving reliability and performance for client systems using Go, TypeScript and Terraform. - Guided engineering teams through code reviews, pair programming, and coaching, raising code quality and accelerating delivery across teams of 10–15 engineers. - Delivered 20+ training sessions, conference talks, and blog posts, and co-hosted the Club Cloud Stories podcast, sharing cloud-native expertise with thousands of engineers and strengthening Xebia's reputation as a thought leader.

Contributed to the development and modernization of Corsearch’s large-scale brand protection platform, focusing on high-volume data processing, system reliability, and enabling legal analysts to make informed, data-driven decisions. - Designed, maintained, and scaled data pipelines processing terabytes of data daily, ensuring accuracy and availability for critical analytics. - Led the migration of a legacy monolith to microservices, boosting processing speed by 40%, improving fault tolerance, and enabling integration with new external data sources. - Optimized performance and observability through tuning, monitoring, and incident management, reducing downtime and operational overhead across production systems. - Coordinated and mentored a remote development team, improving delivery speed, cross-timezone collaboration, and overall code quality.

Developed and maintained multiple client-facing applications, gaining hands-on experience in full-stack development and building a foundation in scalable software delivery using PHP, JavaScript, and AWS. - Built a Maritime Port Finder app to help users locate ports and related services. - Developed a hospital payroll system, streamlining payroll processes and reducing administrative overhead. - Created a drag-and-drop newsletter editor that enabled clients to design customized newsletters with ease. - Delivered CRM and social networking solutions that improved client business performance and fostered online communities.

Completed a comprehensive program in computer science with a focus on software engineering, programming, and computer systems. - Coursework: Algorithms & Data Structures, Operating Systems, Computer Networks, Databases, Electronics, Mathematics, and Statistics. - Wrote programs in C and Assembly to practice algorithms, memory management, and low-level hardware interaction. - Built automation scripts in Perl for text and file processing. - Developed PHP/MySQL web applications such as a student registry and a simple blog, gaining early full-stack experience.