Summary
Grégoire De La Garanderie is a software engineer with 10 years of experience, currently building the backend for Maestro, a coding agent at iGent AI. He blends research-grade computer vision expertise—holding a PhD on multi-object detection, pose estimation and tracking for panoramic imagery—with hands-on cloud-native engineering across AWS, Kubernetes and CI/CD. At Intel he led the cloud-native transformation of the Geti platform, designing auth stacks, microservice migrations and modern DevOps practices that enabled a SaaS launch. His background spans deep learning model development (PyTorch), event-driven backend architectures (Kafka) and production reliability improvements, reflecting a rare ability to move algorithms from research into scalable products. Based in London, he brings multidisciplinary experience from automotive perception to biomedical imaging tools and GPU simulator work, often focusing on bridging domain-specific models with robust infrastructure. Colleagues describe him as both a technical architect and a pragmatic implementer who thrives at the intersection of ML research and production systems.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Durham University
Master of Computational Software & Techniques for Engineering, Digital Signal & Image Processing, Master of Computational Software & Techniques for Engineering, Digital Signal & Image Processing at Cranfield University
English, French