Landscaping Business Website (WordPress)
Designed and developed a modern and fully responsive website for a landscaping business using WordPress. The website showcases services, project galleries, and customer-focused content to attract local clients. It includes contact forms, service sections, fast loading speed, and SEO optimization to improve online visibility. The design is clean, mobile-friendly, and optimized for a smooth user experience across all devices.
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Use this for the Wireless Alignment Helper project:
Wireless Alignment Helper is a Windows desktop tool I built to make wireless link alignment faster and easier for field technicians and network engineers.
The application connects to wireless devices using SNMP and displays live RX signal levels in real time. It can monitor multiple clients at once, graph their signal strength, calculate averages, and help identify the best possible antenna alignment while a technician is physically adjusting the link.
I built it around a real networking workflow rather than as a demo project, so the interface focuses on quick device selection, live feedback, multiple-client visibility and practical signal monitoring.
Key functionality includes:
• Live SNMP signal polling
• SNMP v1/v2c/v3 support
• Local and remote RX monitoring
• Multi-client signal tracking
• Real-time signal charts
• Minimum, maximum and average signal statistics
• Wireless AP/client monitoring
• Configurable OIDs
• Saved device/configuration settings
• Windows desktop interface
This project combines my professional networking background with software development and demonstrates C#/.NET desktop development, SNMP integration, real-time data visualization and network automation.
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European Transport Compliance & Rules Engine
As part of a large enterprise ERP system, I developed a specialized rules engine for transportation operations across the European Union.
The module automatically determines whether a planned transportation operation complies with applicable regulations, taking into account vehicle characteristics, cargo parameters, routes, countries involved, and specific transportation conditions.
The underlying business logic was highly complex, with numerous regulatory rules, exceptions, dependencies, and combinations of operational parameters. Many of these requirements had previously been handled manually, making the process difficult to maintain and creating a significant risk of human error.
The solution transformed this complex regulatory knowledge into an automated software-based decision engine. It helped transportation teams identify potentially non-compliant operations before they were executed, significantly reducing the risk of incorrect transportation practices, regulatory violations, and costly fines.
The system was implemented as part of a proprietary ERP platform using .NET, MSSQL, WinForms and DevExpress. Due to the confidential nature of the ERP system, the source code and detailed business rules cannot be publicly disclosed.
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Automated Transportation Pricing Engine
As part of a large enterprise ERP system, I developed an automated engine for calculating the cost of transportation orders based on more than 40 business and operational parameters.
The pricing calculation involved complex business rules, multiple dependencies between parameters, and a large number of possible combinations. Previously, the calculation was performed using Excel-based processes and could take up to 10 minutes for a single order.
I designed and implemented a software-based calculation engine that automated this process and moved the complex pricing logic from manual Excel calculations into a maintainable and executable business rules system.
The result reduced the calculation time from up to 10 minutes to approximately 5 seconds per order.
Because the solution was developed as part of a proprietary ERP system, the source code and implementation details cannot be publicly disclosed. However, I can discuss the architecture, engineering challenges, optimization approach, and the business logic involved at a high level.
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