À propos de Simon
Product‑focused engineer with a background in embedded systems and applied machine learning, specializing in taking research prototypes to reliable, scalable products under real‑world constraints (latency, power, offline operation, manufacturing).
Anglais
Bilingue ou natif
Français
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- FreelanceFreelance Software Engineer | Applied AI SystemsTECHmars 2025 - Aujourd'hui (1 an et 4 mois)Barcelone, Espagne• Led delivery of production features across embedded vision and tracking systems during a transition to an AI-first developmentworkflow.• Introduced agentic coding, automation, and quality controls; ≈80% of code is AI-generated with systematic human review.• Achieved delivery parity with a reduced head count with no observable degradation in software quality.
- Vivid MachinesDirector of Software EngineeringAGRICULTUREfévrier 2022 - mars 2025 (3 ans et 1 mois)• Delivered a real-time video analytics industrial IoT product for agriculture, scaling to ≈500k trees analysis per day, deployed in7 countries, owning end-to-end software on NVIDIA Jetson devices plus backend services and mobile application.• Built the production software stack from a non-real-time research prototype, translating ML research into deployable systemsunder strict hardware constraints.• Designed the system for soft real-time throughput and multi-day offline operation, using Rust, GStreamer, and onnxruntime,balancing accuracy, reliability, and operational constraints.• Defined and executed technical and product roadmaps in close collaboration with the CTO and CEO.• Led and scaled an 8-person engineering team; drove hiring, day-to-day management, and execution with the CTO.• Helped establish the ML research team, recruiting the ML lead and aligning research priorities with production and hardwarerealities.• Served as primary engineering contact for customer support and field operations across multiple countries and time zones.
- QorvoLead AI EngineerTECHaoût 2021 - août 2022 (1 an)• Appointed after Qorvo’s acquisition of Sevenhugs to establish machine learning capabilities inside the semiconductor organization.• Built a new ML team from zero; hired four engineers, including the future team manager to ensure long-term ownership.• Defined ML processes, development standards, and project intake to move from ad-hoc experimentation to repeatable delivery.• Worked with engineering, manufacturing, and product teams to identify concrete, high-value problems suitable for ML.• Contributed hands-on to early prototypes for improving wafer analysis.• Co-inventor on patent US11445107B2 (Supervised setup for control device with imager).
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Formations
- Ingénieur logicielEPITA2013
- Master, Apprentissage AutomatiqueUniversité Pierre et Marie Curie2016