Currently pursuing RNCP Level 7 (Master's degree equivalent) in AI & Machine Learning at DataScientest - Mines Paris. Previously certified at RNCP Levels 5 & 6 in Application Development.
Specialized in AI-powered systems, cross-platform mobile development, and data-driven observability (SLI/SLO). Passionate about building robust backends, intuitive frontends, and intelligent tooling.
Driven by curiosity for technology at all levels β from edge computing to AI workflows. I design practical, secure, and scalable solutions.
When not coding, I experiment with AI pipelines, vector databases, observability systems, and IoT devices like the Flipper Zero.
Modern mobile solution built with React Native leveraging 2025's new architecture (Fabric, TurboModules) for near-native performance.
| Stack | Features | Impact |
|---|---|---|
| React Native, TypeScript, NestJS, PostgreSQL, Redis | Real-time sync, offline-first architecture, 86%+ code reuse iOS/Android | Enterprise-grade ERP mobile access with enhanced UX |
Data-driven monitoring system using SLI/SLO-driven observability for proactive service reliability.
| Stack | Features | Impact |
|---|---|---|
| Node.js, Elasticsearch, Grafana, OpenTelemetry, pgvector | AI-powered anomaly detection, custom SLI/SLO dashboards, cost-optimized pipeline | Reduced MTTR by 60%, proactive issue resolution |
| Domain | Technologies |
|---|---|
| π€ AI & ML | RAG Systems Β· Vector DBs (Pinecone, pgvector, Qdrant) Β· LangChain Β· Fine-tuning Β· TensorFlow Β· PyTorch Β· MLOps |
| π± Mobile | React Native (New Architecture) Β· TypeScript Β· Expo Β· Offline-First Β· Real-time Sync |
| π» Frontend | React Β· Next.js Β· TailwindCSS Β· Redux |
| βοΈ Backend | NestJS Β· Node.js Β· Clean Architecture Β· Microservices Β· GraphQL |
| π Observability | SLI/SLO Design Β· OpenTelemetry Β· Grafana Β· Elasticsearch Β· AIOps |
| π’οΈ Databases | PostgreSQL Β· MongoDB Β· Redis Β· Vector Databases |
| π³ DevOps | Docker Β· Docker Swarm Β· CI/CD Β· Nginx Β· Linux |
- π§ AI Agents & RAG 2.0 β Intelligent assistants with multi-step reasoning and graph-based retrieval
- π± Mobile Performance β Optimizing React Native apps with new architecture patterns
- π Proactive Observability β AI-driven predictive monitoring and FinOps integration
- π§ Edge Computing β Custom automation toolkit with Flipper Zero and Arduino
| Trend | Status |
|---|---|
| Cross-platform mobile (React Native new architecture) | β |
| SLI/SLO-driven observability | β |
| RAG & Vector Databases for enterprise AI | β |
| AI/ML integration in production | β |
| OpenTelemetry standardization | β |
| Cost-optimized data pipelines | β |