[Demo] Soil moisture monitoring station
A self-powered station that measures moisture at three depths and tells farmers when to irrigate.
- In production
- IoT
- Embedded
- Data
Engineer and entrepreneur — AI and connected devices
Available for new engagements.
Choosing, reading and calibrating sensors for reliable field measurements.
LoRaWAN, LTE-M and MQTT for devices that run for months.
Language models, speech and on-device models, evaluated before deployment.
Specification, full-stack development and production rollout.
A self-powered station that measures moisture at three depths and tells farmers when to irrigate.
A one-button device that sends its wearer’s position to a mobile app.
Hackathon prototype: written alerts translated, then read aloud in a local language.
Connected sensors to steer irrigation on small farms.
Development studio for small businesses: websites, apps and automation.
Oct 2018 – Sep 2021
[Démo] École polytechnique d’exemple — Embedded systems and AI
Honours — With honours
Thesis — Low-power sensor network for soil monitoring
Fictional thesis: design, prototyping and battery-life measurement of a LoRaWAN network.
From prototype to production: web app, mobile app or connected device.
Small businesses, agencies and institutions.
Pricing — On quotation (example)
Designing and evaluating prompts for reliable assistants.
Product teams and training providers.
A clear document to scope a project before pricing or outsourcing it.
Project owners and buyers.
Fictional testimonial: we finally know when to irrigate, and we know it from a basic phone.
Fictional testimonial: a clear specification and a schedule that was kept.