Resume

Work Experience Link to heading

Sundogs, Remote | Feb 2026 – Present

Architected a distributed video-processing and ML inference platform on Ray/KubeRay and GKE, designing for production fault tolerance: idempotent task retries and head-node isolation over blunt autoscaler pinning.
Drove the migration from a Flask monolith to a FastAPI service architecture using domain-driven design, vertical feature slices, and hexagonal ports (Python Protocol, composition-root DI).
Owned the infrastructure and observability foundation: OpenTofu/Terraform IaC on GCP, CI/CD with immutable SHA-tagged images, and end-to-end distributed tracing via OpenTelemetry and structured logging.
Built scalable data pipelines and serving layers across BigQuery, GCS, and Pydantic v2, and delivered a greenfield React/TypeScript frontend (Vite, TanStack, Cloud CDN).

Wayve Ltd, London, UK | Sept 2024 – August 2025

Staff Engineer Platform (Feb 2025 – Aug 2025)

Responsible for a distributed inference at scale platform, supporting 200+ engineers, based on Flyte, Ray, Kafka, and Terraform in Azure.
Technical lead for Wayve’s curation platform, providing high-quality datasets to create an internal world foundation model.
Designed and implemented a custom scheduler and execution tracker to interoperate between a custom-made Spark data platform and Flyte (Python, Kafka, PostgreSQL).
Mentored engineers on team culture, communication, knowledge sharing, and best practices.

Engineering Manager Robotics & Vision (Sept 2024 – Feb 2025)

Led and mentored a team of six engineers specializing in computer vision (SLAM, SfM, Sensor Fusion) and multimodal sensor calibration for autonomous robots.
Refactored data pipelines to improve CI reliability with better test isolation and mocking.
Developed a targetless calibration system for multi-OEM sensor suites.

Capmo GmbH, Munich, Germany | Jun 2022 – Dec 2023

Managed and mentored a cross-functional team of 10 engineers (backend, mobile, QA) with a focus on growth and performance.
Led the development of native iOS (SwiftUI) and Android (Jetpack Compose, MVVM) apps.
Directed a TS/Next.js backend monolith re-architecture, implementing hexagonal architecture, GraphQL conventions, and comprehensive testing.

Self-employed, Remote | Aug 2021 – Aug 2022

Co-author and teacher at Le Wagon for the Data Engineering track.
Advised early-stage startups on software engineering best practices and scaling from scratch.

IKEA, Mountain View, USA | Mar 2020 – Dec 2021

Led merger integration with IKEA, delivering a unified iOS/Android app and cloud platform.
Built and managed engineering teams of 10+ across mobile and platform domains.
Architected and implemented modular native AR mobile applications.
Defined roadmaps and OKRs for the mobile team aligned with IKEA’s business objectives.

Geomagical Labs (acquired by IKEA), Mountain View, USA | Nov 2016 – Mar 2020

Developed iOS and Android AR apps from scratch using ARKit and ARCore for 3D spatial guidance.
Designed and built a CV/ML cloud platform on GCP with Kubernetes for complex DAG execution and API delivery.
Established and maintained company-wide DevOps systems, including CI/CD pipelines, branching models, and Git workflows.

Wikitude GmbH (acquired by Qualcomm), Salzburg, Austria | Nov 2014 – Aug 2016

Master’s Degree in Computer Vision and Image Processing
École Centrale de Lyon, Lyon, France | Sept 2014

Master of Science in Computer Graphics
Université Claude-Bernard Lyon 1, Lyon, France | Sept 2014

Bachelor’s Degree in Fundamental Physics
Université Paris-Sud XI, Orsay, France | June 2011

Virtual interaction with three-dimensional indoor room imagery, US20200302681A1 (US WO)
Method and system for image generation, US20210004933A1 (US WO)
System and method for virtual modeling of indoor scenes from imagery, US20200302686A1 (US WO)

Python, Swift, Kotlin, FastAPI, Django, Flyte, Ray, RabbitMQ, Kafka, PostgreSQL, Kubernetes, Terraform, CI/CD

Pizza making, downhill mountain biking, scuba diving