AI-Assisted Software Developer | Automation, Trading Systems
New to Contra
AI-Assisted Software Developer | Automation, Trading Systems
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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Local Library — Self-Hosted Learning, PDF & AI Quiz Platform
Short description
A self-hosted local-network learning platform I built to organize books, PDFs and images, provide a full browser-based reading experience, and generate interactive study quizzes using local AI.
“Tell us about this work”
Use this:
I built Local Library as a self-hosted learning and document platform designed to run entirely on a local network.
The original goal was to make school books, worksheets and learning material easy to access from any device in the house without relying on cloud services. The project grew into a complete digital library and study environment.
Users can browse categorized PDF collections, search books, read documents directly in the browser, add notes and bookmarks, organize images, run OCR on image collections and access content offline.
I also integrated local AI through Ollama to create an interactive Quiz Studio. Quiz sets can be generated from individual books, entire subjects or custom groups of learning material. The system tracks study progress, weak questions, accuracy and daily learning goals.
Key functionality includes:
• Self-hosted local-network access
• PDF library and category management
• Browser-based PDF reader
• Full-book search
• Notes and bookmarks
• Image library and OCR
• Offline access
• User/admin functionality
• Local Ollama AI integration
• AI-generated quizzes from learning material
• Subject and book-based quiz generation
• Saved quiz sets
• Study-progress tracking
• Weak-question review
• Daily study plans and goals
This project demonstrates full-stack application development, local AI integration, document processing, OCR, education tooling and building a complete application around a real-world user need.
I especially like that last point: you didn't make a random demo for a portfolio. You had an actual problem in your home and built software to solve it. That's a strong story for freelance clients.
Skills used
Add these if Contra offers them:
Full-Stack Development
AI-Assisted Development / Vibe Coding
Web Application Development
Python
JavaScript
Artificial Intelligence
Ollama
Local LLMs
OCR
Document Processing
PDF Integration
Search
Database Development
Responsive Web Design
Self-Hosted Applications
Local Network Applications
Education Technology / EdTech
UI/UX Development
Automation
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Forex Evolution Market Scanner is a desktop market-analysis and automation tool I built to generate structured pre-session briefs across indices, forex, metals, crypto and DXY.
It connects directly to MetaTrader 5 for live market data, combines that with news and economic-calendar context, and uses local AI through Ollama to generate market outlooks, key levels, sentiment and risk context without requiring paid AI APIs.
The application also includes automated scheduling, multi-market scanning, Telegram delivery, MT5 symbol management, fallback market-data sources, configurable market profiles and a Windows desktop/tray interface.
I designed it to turn several manual pre-market research steps into one repeatable automated workflow: collect data → analyse context → generate a market brief → deliver it automatically.
Key technologies: Python, MetaTrader 5, Ollama/local AI, Telegram API, market-data integrations, automation and Windows desktop packaging.
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TradeFlow — Full MT5 Trading, Analysis & Automation Platform
One-line summary
A modular trading workspace combining MT5 integration, live charting, trade journaling, strategy playbooks, copy trading, local AI analysis, financial news and economic-calendar data.
Role
AI-Assisted Software Developer / System Designer
Project description
TradeFlow is a full trading and productivity platform built to bring market analysis, trade execution support, journaling, strategy review and automation into one workspace.
The platform connects directly to MetaTrader 5 and includes live terminal data, trade synchronization, copy-trading controls, strategy analysis, live charting, financial news, economic-calendar data and AI-assisted market analysis.
Key features include:
MT5 account and trade integration
Live terminal and chart data
Copy-trading functionality
Trading journal with MT5 sync
Strategy and playbook management
Custom confluence and checklist logic
AI-assisted market analysis
Higher-timeframe and execution-context analysis
Financial news and economic-calendar integration
Saved market analysis and trade review
Position management tools
Multi-terminal support
Productivity planner and weekly review tools The system uses a React frontend with a FastAPI/Python backend and integrates with MetaTrader 5, local AI models through Ollama, Telegram automation and additional market-data services. This project demonstrates full-stack application development, API integration, trading-platform integration, local AI workflows, data processing, automation and complex UI design.
Senior .NET Developer | ASP.NET Core | Blazor | Desktop
New to Contra
Senior .NET Developer | ASP.NET Core | Blazor | Desktop
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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Caffeo (https://caffeo.uno/)was created to solve a problem I experienced firsthand: running a growing network of cafés with fragmented tools, spreadsheets, and systems that were not designed around the realities of day-to-day café operations.
Instead of adapting the business to existing software, I built Caffeo around the actual workflows of café owners, managers, and baristas.
The platform combines sales, inventory, product costs, employee shifts and payroll, financial reporting, and real-time analytics in a single system. It includes an Android application for point-of-sale operations and a web-based management platform for owners and managers.
A key requirement was reliability in real-world conditions. The POS application can continue operating without an internet connection and automatically synchronizes data when connectivity is restored.
Caffeo evolved from software used to operate a real café network into a multi-location SaaS platform, designed to give owners a clear view of revenue, costs, inventory, profitability, and day-to-day operations without the complexity of traditional enterprise systems.
The product was built through years of direct experience with the business it manages, which allowed the software to evolve around real operational problems rather than hypothetical requirements.
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Nutrexia was created to make nutrition tracking simpler, faster, and more intelligent.
Traditional calorie tracking requires users to search for foods, enter portions manually, and maintain their food diary throughout the day. Nutrexia was designed to remove much of this friction by using AI to turn a simple photo of a meal into nutritional information.
The app combines AI-powered food recognition, calorie and macro tracking, personalized nutrition goals, recommendations, and dietary analytics in a single mobile experience.
Users can photograph their meals, get an AI-based estimate of calories and macronutrients, track their progress over time, and receive personalized recommendations based on their eating habits.
The goal was not simply to build another calorie counter, but to create a personal AI nutrition assistant that makes consistent food tracking practical for everyday use.
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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Complete E-commerce Website (WordPress)
Developed a fully functional and responsive e-commerce website on WordPress. Features include a product catalog, shopping cart, secure checkout, payment gateway integration, and optimized user experience across all devices. SEO-friendly structure and performance optimization ensure rapid loading and high visibility.
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Complete Agency Website (WordPress)
Designed and developed a fully responsive WordPress website for an agency, optimized for performance and SEO. Features include a modern design, integrated contact forms, smooth navigation, and full functionality across devices. All essential plugins and tools are implemented for maximum efficiency and user experience.
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Marketing website for a professional Graphic design company
A complete website built as my portfolio from scratch. Here I worked on securing it to the max and built it upon php, html and css for GitHub broadcasting instead node.js where it was structured initially