Daniel Novillo is a versatile full-stack software engineer with ~7–10 years of professional experience designing and delivering web applications and systems architecture across enterprise and startup environments. He has led front-end architecture and optimization for data-heavy React/TypeScript clients, built resilient Java/Spring Boot back-ends for mission-critical internal platforms, and guided teams on security, SDLC, and performance best practices. A pragmatic technical leader and consultant, he has driven integrations across polyglot back ends (Postgres, MongoDB) and implemented advanced state management and GraphQL-driven UIs. His open-source contributions to the well-known CARLA autonomous driving simulator demonstrate a knack for build/devops automation, map import/export tooling, and practical simulation features like obstacle detection. Based in the Greater Calgary area and grounded in a Systems Engineering degree, he blends hands-on coding with architectural oversight to turn complex requirements into reliable, production-ready systems.
7 years of coding experience
14 years of employment as a software developer
Bachelor's degree, Systems Engineering, Bachelor's degree, Systems Engineering at Pontificia Universidad Católica del Ecuador
Open-source simulator for autonomous driving research.
Role in this project:
Backend & DevOps Engineer
Contributions:81 commits, 10 PRs, 73 pushes in 5 months
Contributions summary:Daniel contributed to the development of tools for building and packaging user content, including maps extraction and packaging scripts. They also made modifications to the project's build tools and packaging processes, suggesting a focus on automating and streamlining the build and deployment workflow. Furthermore, the user implemented features for importing and exporting maps. Finally, they added a basic obstacle detector for use within the simulator.
Open-source simulator for autonomous driving research.
Contributions:13 commits in 15 days
autonomous-driving
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