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🚀 Currently: CTO at AICE Power, a deeptech startup revolutionizing energy monitoring for commercial buildings. We use AI-powered sensors to identify individual equipment consumption, enabling 5% deployment cost vs. traditional BMS.
My contributions include:- ⚡ Signal Processing & AI — developing proprietary algorithms for equipment-level energy disaggregation.
- 🏗️ Full-stack Architecture — FastAPI backends, cloud infrastructure on GCP (Cloud Run), and data pipelines.
- 📊 Product & Strategy — leading technical roadmap, R&D, and patent strategy.
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🔙 Previously: Electronics & Software Lead at Amira Health, developing Terra, a wearable system that predicts hot flashes and automatically cools you down before they disrupt your sleep:
- 🛠️ Multilayer, multichip PCB design with high-frequency components, BLE, OTA updates.
- 📱 Mobile App Development in React Native with Kotlin & Swift.
- 🔧 Backend Development using Rust.
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🎓 Education: Master's in Embedded Systems and Signal Processing at ENS Paris-Saclay & Institut Polytechnique de Paris, dual degree with ESSEC Business School (MIM - Grande École).
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🤖 Passionate about: Energy efficiency, embedded systems, AI/ML, self-hosted solutions, and open-source.
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🏆 Former RCVA team member, participating in and winning the Eurobot championship. rcva.fr
- ⚡ Building AI-driven energy monitoring systems combining signal processing, machine learning, and cloud infrastructure.
- 🖥️ Fluent in Python, TypeScript, C/C++. Experienced with FastAPI, Next.js, Docker, GCP.
- 🛠️ Background in embedded firmware, PCB design, BLE, and hardware-software integration.
Running various self-hosted services on an HP Proliant DL380G9 with TrueNAS SCALE & Docker:
- ✉️ Mail Server → docker-mailserver
- ☁️ Cloud Storage → Nextcloud
- 🔒 Identity Management → Keycloak
- 🎬 Media & Collaboration → Jellyfin, OpenLDAP, OpenVPN, HedgeDoc, and more.
- ⚡ Rugby player & DIY enthusiast.
- 📢 Open to collaborations in energy tech, embedded systems, and AI.
- 📝 Personal projects at grav.bouteiller.org.
