Featured Projects
Practical work that demonstrates network + cloud-native skills
Live Architecture
This portfolio is served from a local Kubernetes cluster and published securely using Cloudflare Tunnel (no inbound ports opened).
Browser (HTTPS)
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Cloudflare (TLS termination + proxy)
↓ QUIC tunnel
cloudflared (Kubernetes)
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Kubernetes Services (portfolio / cv / nextcloud / monitoring stack)
Platform Skills (Production-style)
This platform is built and operated like a real environment: secure exposure (Zero Trust), observability, uptime tracking, and multi-service operations.
Kubernetes Portfolio Platform
Designed and operated a cloud-native platform hosted on Kubernetes, securely exposed using Cloudflare Zero Trust (no public IP, no open ports).
Built and operated a production-style multi-service platform using Kubernetes and Zero Trust networking.
- Designed and operated a production-style platform hosting 5+ services with high availability
- Ensured secure public access using Zero Trust (no public IP, no open ports)
- Monitored service health and availability using Prometheus, Grafana, and Uptime Kuma
- Handled service exposure, routing, and DNS through Cloudflare Tunnel
- Managed Kubernetes resources (Deployments, Services, ConfigMaps, Secrets)
- Integrated observability with Prometheus and Grafana
- Ensured high availability and service isolation
Real production-style environment with multiple live services and monitoring.
Exposure
Zero Trust
Infrastructure
Kubernetes
Monitoring
Prometheus
Security
No public IP
NOC-Style Real-Time Monitoring & Alerting System
Built a real-time monitoring system that detects appointment availability and sends instant alerts. Designed with a NOC mindset, including state tracking and change detection.
- Real-time monitoring (20–40 seconds polling)
- Change detection (availability increase/decrease)
- Telegram alerting system
- Retry logic for unstable responses
- Prometheus metrics exposure
Inspired by real-world NOC monitoring systems and alerting workflows.
O-RAN xApps — Interference Detection (ÉTS Project)
Developed an O-RAN workflow using xApps to detect radio interference and optimize frequency allocation based on real-time RF KPIs and PRB utilization in a Kubernetes environment.
- Integrated xApps (E2SIM, KPIMON, ID, FBS, FBA)
- Real-time RF KPI monitoring (RSRP, RSRQ, RSSINR, PRB)
- Stored and processed data using InfluxDB
- Interference detection and dynamic frequency recommendation
Network Performance & KPI Monitoring
Experience analyzing telecom network performance using radio KPIs and applying monitoring and troubleshooting workflows aligned with NOC operations.