Building production-grade telemetry platforms, edge-first systems, and intelligent infrastructure for the next generation of industrial computing.

An edge-first industrial telemetry platform transforming CNC manufacturing with real-time intelligence.

• Real-time Machine Monitoring: Sub-8ms latency telemetry pipelines
• G-code Intelligence: Advanced heuristic-based optimization & analysis
• Full-Stack Architecture: FastAPI backend + React 18 frontend + PostgreSQL + Redis
• Production Observability: Prometheus metrics, Grafana dashboards, comprehensive logging
• Enterprise Security: JWT auth, CSRF protection, rate limiting, audit trails
• Scalable Design: Async-first with Celery task queues, WebSocket real-time updates

Stack: Python (FastAPI, SQLAlchemy, Celery) | TypeScript/React | G-code Analysis | PostgreSQL | Redis | Docker | Nginx

→ Explore CNC-Genius

• FastAPI frameworks, async Python architectures, microservices design
• Database: PostgreSQL optimization, schema migrations (Alembic), query performance tuning
• Async Patterns: Celery + Redis task queues, WebSocket real-time systems, event streaming
• API Design: REST architectures, fail-closed contracts, structured validation (Pydantic)

• React 18 ecosystem, TypeScript-first approaches, component design systems
• State Management: Zustand patterns, real-time data binding, efficient re-rendering
• Performance: Code splitting, lazy loading, monitoring, user experience optimization

• MTConnect Protocols: Machine telemetry, real-time data streams, edge processing
• CNC/G-code: Parsing, heuristic optimization, tool path analysis, machine simulation
• IoT Architecture: Edge-first deployment, fail-safe operations, deterministic systems

• Containerization: Docker, docker-compose, multi-stage builds
• Monitoring: Prometheus scraping, Grafana dashboards, structured logging
• CI/CD: GitHub Actions, automated testing, production deployment pipelines
• Load Testing: k6 performance analysis, bottleneck identification

• Authentication: JWT tokens, session management, secure API design
• Caching Strategies: Redis patterns, cache invalidation, performance tuning
• Rate Limiting & DDoS Protection: API throttling, request validation
• Load Testing & Optimization: k6 scripts, performance profiling, latency analysis

🎨 Frontend       React 18 • TypeScript • Vite • TailwindCSS • Zustand • Axios
🔧 Backend        FastAPI • Python 3.11 • SQLAlchemy • Pydantic • AsyncIO
⚡ Async/Jobs    Celery • Redis • WebSockets • Event Streaming
💾 Data           PostgreSQL 15 • Alembic • Redis Cache
🐳 DevOps         Docker • docker-compose • Nginx • Linux
📊 Observability  Prometheus • Grafana • Structured Logging
🧪 Testing        pytest • Jest • Playwright • k6 (load testing)
🔐 Security       JWT • CSRF Protection • Rate Limiting • Audit Logging

✅ Strong typing over implicit behavior
✅ Fail-closed contracts for production safety
✅ Observability-first system design
✅ Edge-first architecture for latency-critical systems
✅ Deterministic pipelines for reliable telemetry
✅ Local-first deployment models
✅ Production simplicity over unnecessary complexity

Industrial telemetry & optimization system for CNC manufacturing environments

• Multi-layer architecture with edge processing and cloud-optional fallback
• G-code heuristics: arc optimization, tool path analysis, machine simulation
• Enterprise security: JWT auth, CSRF, audit logging, rate limiting
• Production metrics: sub-8ms latency, >30% cache hit rate, 99.5% uptime
• Async-first: non-blocking Celery jobs, real-time WebSocket dashboards

→ View Repository

Building complete end-to-end systems combining:

• Intelligent backend APIs with FastAPI
• Modern React dashboards with real-time updates
• PostgreSQL data models optimized for scale
• Docker containerization for seamless deployment

Currently exploring:

• Advanced distributed systems patterns
• High-performance data processing at scale
• Cloud-native architecture (Kubernetes patterns)
• AI/ML infrastructure for manufacturing

I'm passionate about collaborating on projects involving:

• Industrial Automation & IoT systems
• Real-time data processing pipelines
• Backend optimization and scalability challenges
• Open-source contributions with production-grade quality

Open for: Technical discussions • Code collaborations • Architecture advice • Mentorship

• GitHub: @Viniciusjohn
• LinkedIn: Connect with me
• Email: Available in GitHub profile