[SYSTEM] Status: ONLINE
[SYSTEM] Mission: Bridging power systems with low-level software engineering
[SYSTEM] Current Focus: High-performance RTOS-like environments for industrial IoT
01. Academic Background & Education
Master’s in Electroenergetics (In progress)
Université Catholique la Sapientia – Goma
Bachelor’s degree in Electrical Engineering (2025)
Université Catholique la Sapientia – Goma
State Diploma in Electricity (2021)
Institut Kyeshero – Goma
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Energy Systems Sizing LV/MV/HV Networks Hydroelectric Plants Photovoltaic Systems |
Industrial Infrastructure Electrical Installations Safety & Protection Resilient Infrastructure |
Automation & AI Industrial Automation Predictive Maintenance Control Systems |
| Category | Technologies & Frameworks |
|---|---|
| Languages | |
| Embedded & Hardware |
|
| Web & 3D Ecosystem |
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| Infrastructure & Cloud |
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| AI & Computer Vision |
|
02. System Architectures & Design Patterns
graph LR
subgraph "Edge Devices"
ESP32[ESP32 / STM32 Sensors]
Gateway[Rust Edge Gateway]
end
subgraph "Distributed Core"
NATS((NATS Messaging))
GoSrv[Go Microservices]
K8s{Kubernetes}
end
subgraph "Infrastructure"
Postgres[(PostgreSQL)]
GCP[Google Cloud Platform]
end
ESP32 --> Gateway
Gateway <--> NATS
NATS <--> GoSrv
GoSrv --- K8s
GoSrv --- Postgres
K8s --- GCP
graph TD
App[Rust Application Logic]
HAL[Hardware Abstraction Layer]
RTOS[Real-Time Execution / PAC]
MCU[Microcontroller Peripheral]
App --> HAL
HAL --> RTOS
RTOS --> MCU
I regularly share technical insights on power systems, industrial automation, and embedded software development. I am currently authoring an in-depth technical piece titled: « Conception d’un système de maintenance prédictive pour moteurs électriques », focusing on signal processing and AI for industrial reliability.
- Predictive Maintenance System: Developing an open-source hardware/software prototype for industrial electric motors to detect bearing, alignment, and insulation failures via signal processing.
- ArchAI-CAD: A web-based SaaS for 3D parametric architectural design driven by Generative AI. Engineered using Maker.js for complex 2D zoning coordinates, seamlessly extruded into 3D volumes via Replicad, powered by SolidJS and WebAssembly.
- Embedded Runtime: High-performance RTOS-like environments for STM32 and ESP32 built with Rust, focusing on memory safety and real-time execution for industrial IoT.
- Distributed IoT Core: A scalable, cloud-native backend architecture for managing massive device fleets using Go, NATS messaging, and Kubernetes orchestration.
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