NASA Exoplanet Explorer
Led BTU Team representing BTU Cottbus-Senftenberg in NASA Space Apps Challenge 2025. Developed an AI-powered platform for automated exoplanet detection using NASA's Kepler, TESS, and K2 mission data. Features 3D visualization of exoplanetary systems, advanced light curve analysis, and machine learning algorithms for automated exoplanet discovery.
NASA Space Apps Challenge 2025 • Team Leader • BTU University
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QR Code Scanner & Analytics Platform
A production-grade Flask web application for advanced QR code scanning and analytics. Features batch processing, PDF QR extraction, WiFi QR generation, RESTful API endpoints, and a responsive web interface. Deployed on Railway with comprehensive error handling and multiple QR decoding engines.
Production deployed • Multiple QR engines • Batch processing
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Social Media Content Automation
A Python-based automation platform for AI-powered content creation and posting across multiple social media platforms. Utilizes LLMs and APIs for seamless, automated social media workflows.
Handles 10K+ requests/day • 95% automation rate
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GCP Cloud Resource Analytics
A serverless, production-grade dashboard for Google Cloud Platform (GCP) that provides real-time cloud usage, cost analytics, and cost-saving recommendations. Built with Terraform, FastAPI, and BigQuery.
30% cost reduction • Real-time monitoring
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Research Data Management Platform
A modern Research Data Management (RDM) platform inspired by Zenodo.org, built with .NET 8. Features secure data storage, DOI generation, advanced search, and integration with Azure for scalable research data workflows.
Enterprise-grade • Azure integration
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AI-Powered Document Analysis
An intelligent document processing system that uses machine learning to extract, analyze, and categorize information from various document formats. Features OCR, NLP, and automated data extraction capabilities.
95% accuracy • Processes 1000+ docs/hour
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Specflow BDD TDD Clean Arch CRUD Application using Dotnet
A full-stack CRUD web application for customer data management built with .NET 7. Features Blazor WebAssembly frontend, ASP.NET Core API backend, Entity Framework Core, MediatR pattern, CQRS architecture, comprehensive testing with TDD/BDD approach using SpecFlow and xUnit, and Swagger API documentation.
100% test coverage • Production ready
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Sample Clean Architecture Structure
A sample .NET project demonstrating clean architecture principles, best practices, and modular design for scalable enterprise applications.
Educational • Best practices showcase
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AliScrapper
A modular Python scraper for Alibaba products with minimum order quantity (MOQ) of 1. Features modular architecture following SOLID principles, type-hinted code, strategy pattern for pagination, dependency injection, and comprehensive unit tests with mocked browser support.
Scrapes 10K+ products • 99% success rate
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PR Comment Export
A Python tool to export pull request comments from GitHub repositories for documentation, analysis, and reporting. Useful for open-source maintainers and research.
Processes 1000+ PRs • Export to multiple formats
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MemCast Telegram Bot
A versatile Telegram bot that provides bilingual (English and Persian) meditation prompts, AI chat, and media downloads. Includes channel membership verification and supports various interactive features.
500+ active users • 24/7 uptime
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Personal Activity Monitoring
An R-based platform for analyzing and visualizing personal activity data from fitness devices. Offers advanced statistical analysis and customizable reports for health and fitness tracking.
Advanced analytics • Custom visualizations
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