Patricia Déchandol is a Senior Solution Engineer with 11+ years crafting and industrializing software and cloud-native platforms from R&D deep learning stacks to SaaS architectures. Based in Lourdes, France, she combines hands-on development (Python, SpringBoot, Angular) with infrastructure expertise in Kubernetes, Terraform, Ansible and GitOps to deliver reproducible CI/CD and HPC deployments on Slurm. Her recent work focuses on integrating LLMs and GenAI into on‑premise tools using LangGraph, Agno and Spring AI, alongside low-code automation with n8n and Make. She has a strong backend pedigree evidenced by contributions to the Halide project, where she implemented deep-copy semantics across core components. With a PhD in Applied Mathematics, Patricia brings rigorous problem-solving to scalable system design and performance-sensitive engineering. Colleagues rely on her for pragmatic architecture, methodological coaching and rapid prototyping that bridge research and production.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Pau and Adour Countries
a language for fast, portable data-parallel computation
Role in this project:
Back-end Developer
Contributions:725 commits, 149 PRs, 889 pushes in 2 years 7 months
Contributions summary:Patricia appears to be a back-end developer, based on the commits related to implementing a deep copy method in the Halide language. The user made significant code changes across multiple files, including `Function.cpp`, `Schedule.cpp`, and `WrapCalls.cpp`, to create a deep copy method for functions. The commits indicate that the implementation had compilation errors and was not fully working. The user was also involved in modifying and enhancing existing functionalities like the validation of the schedule.
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Patricia Déchandol - Senior Solution Engineer at KELTIO