A collection of Python-based tools demonstrating expertise in wireless network engineering, optimization, and troubleshooting for enterprise environments.
This portfolio showcases three comprehensive projects that demonstrate understanding of wireless networking concepts relevant to large-scale deployments in warehouses, fulfillment centers, and data centers.
Real-time wireless signal monitoring and environment simulation tool that demonstrates understanding of RF fundamentals.
Key Features:
- Cross-platform WiFi signal monitoring
- Environment simulation (Office, Warehouse, Data Center)
- SNR calculations and interference modeling
- Time-based pattern analysis
Technologies: Python, Network Protocols, RF Analysis
Enterprise-grade channel planning tool for high-density wireless deployments in warehouse environments.
Key Features:
- Automated channel assignment algorithms
- Coverage vs. capacity planning
- Interference detection and mitigation
- Comprehensive deployment reporting
Technologies: Python, Channel Planning, Capacity Analysis
Automated troubleshooting system with root cause analysis and runbook generation capabilities.
Key Features:
- Systematic diagnostic approach
- Pattern recognition across issues
- Automated runbook generation
- Visual troubleshooting flowcharts
Technologies: Python, Root Cause Analysis, Automation
- Wireless Fundamentals: Signal strength (RSSI/dBm), SNR, channel utilization
- Enterprise Networking: 802.11k/v/r, VLAN configuration, QoS implementation
- Problem Solving: Root cause analysis, pattern recognition, systematic troubleshooting
- Automation: Script development, report generation, diagnostic automation
- Scalability: Solutions designed for 100,000+ device environments
# Clone the repository
git clone https://github.com/bernardogv/wireless-network-engineering-tools.git
cd wireless-network-engineering-tools
# Install dependencies (if any)
pip install -r requirements.txtThese tools address real-world challenges in enterprise wireless deployments:
- Warehouse Operations: Supporting thousands of scanners and IoT devices
- High-Density Environments: Optimizing performance with many concurrent users
- 24/7 Operations: Maintaining reliability in critical infrastructure
- Troubleshooting: Rapid issue identification and resolution
Designed for environments similar to:
- Amazon Fulfillment Centers
- Large warehouses and distribution centers
- Data centers with wireless infrastructure
- Enterprise campus networks
- Integration with wireless controller APIs
- Machine learning for predictive analytics
- Real-time dashboard development
- Cloud-based monitoring solutions
Bernardo Gallegos Vallejo
- Email: bernardogv@pm.me
- Location: Pataskala, OH
This project is open source and available under the MIT License.
This portfolio demonstrates practical wireless networking skills applicable to roles in network engineering, particularly in large-scale enterprise and warehouse environments.