I help companies ship production-ready AI systems and scalable cloud applications that solve real business problems.Ich helfe Unternehmen, produktionsreife AI-Systeme und skalierbare Cloud-Anwendungen für echte Geschäftsprobleme zu entwickeln.
This section shows what I'm currently focused on. Inspired by Dieser Abschnitt zeigt, worauf ich mich derzeit konzentriere. Inspiriert von nownownow.com
Automated documentation and paperwork reduction for medical professionals, saving time and improving clinical efficiency.Automatisierte Dokumentation und Reduzierung des Papierkrams für medizinisches Personal, was Zeit spart und die klinische Effizienz verbessert.
Medical SaaS • Clinical EfficiencyMedical SaaS • Klinische Effizienz
Tech Stack:Tech-Stack:
An internal operations copilot for smart-meter and building-energy data companies. Detects suspicious incidents, explains causes, and suggests actions. Designed as a read-only sidecar service deployable via Docker.Interner Operations-Copilot für Smart-Meter- und Gebäudeenergie-Datenunternehmen. Erkennt verdächtige Vorfälle, erklärt Ursachen und schlägt Maßnahmen vor. Als schreibgeschützter Sidecar-Service via Docker einsetzbar.
Enterprise Operations Solution • Docker packageEnterprise Operations-Lösung • Docker-Paket
Tech Stack:Tech-Stack:
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.Produktionsreife Flask-App für QR-Scanning und Analytics: Batch-Verarbeitung, PDF-QR-Extraktion, WiFi-QR-Generierung, REST-APIs und responsives UI. Deployment auf Railway mit robuster Fehlerbehandlung und mehreren QR-Engines.
Production deployed • Multiple QR engines • Batch processingProduktiv im Einsatz • Mehrere QR-Engines • Batch-Verarbeitung
Tech Stack:Tech-Stack:
A production-ready FastAPI template with Docker, CI/CD, observability, and one-click deployment to Render or Koyeb. Features Prometheus metrics integration, Sentry error tracking, PostgreSQL support, health checks, GitHub Actions CI/CD, automated Docker image publishing to GitHub Container Registry, comprehensive testing with pytest, and code quality tools with ruff.Produktionsreifes FastAPI-Template mit Docker, CI/CD, Observability und Ein-Klick-Deployment (Render/Koyeb). Inklusive Prometheus, Sentry, Postgres, Health-Checks, GitHub Actions, automatischem Image-Publishing, pytest und ruff.
27 stars • Production template • One-click deploy27 Stars • Produktionsvorlage • Ein-Klick-Deploy
Tech Stack:Tech-Stack:
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.Leitung des BTU-Teams bei der NASA Space Apps Challenge 2025. KI-Plattform für automatische Exoplaneten-Detektion mit Daten aus Kepler, TESS und K2, inklusive 3D-Visualisierung, Light-Curve-Analyse und ML-Modellen.
NASA Space Apps Challenge 2025 • Team Leader • BTU UniversityNASA Space Apps Challenge 2025 • Teamlead • BTU
Tech Stack:Tech-Stack:
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.Serverloses, produktionsreifes Dashboard für GCP mit Echtzeit-Nutzung, Kosten-Analytics und Spar-Empfehlungen. Entwickelt mit Terraform, FastAPI und BigQuery.
30% cost reduction • Real-time monitoring30% Kostenreduktion • Echtzeit-Monitoring
Tech Stack:Tech-Stack:
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.Python-Plattform zur KI-gestützten Content-Erstellung und Veröffentlichung über mehrere Social-Media-Kanäle. Nutzt LLMs und APIs für durchgängige Automatisierung.
Handles 10K+ requests/day • 95% automation rate10K+ Requests/Tag • 95% Automatisierungsgrad
Tech Stack:Tech-Stack:
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.Moderne RDM-Plattform nach dem Vorbild von Zenodo, gebaut mit .NET 8. Bietet sichere Datenspeicherung, DOI-Generierung, erweiterte Suche und Azure-Integration für skalierbare Forschungs-Workflows.
Enterprise-grade • Azure integrationEnterprise-Ready • Azure-Integration
Tech Stack:Tech-Stack:
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.Intelligentes Dokumenten-Processing mit ML für Extraktion, Analyse und Kategorisierung. Enthält OCR, NLP und automatische Datenerfassung.
95% accuracy • Processes 1000+ docs/hour95% Genauigkeit • 1000+ Dokumente/Stunde
Tech Stack:Tech-Stack:
DeepLearning.AI • Aug 2023
Credential ID: UMX34A82YCMV
Google Cloud • Mar 2024
Credential ID: NFMQ9VEFSXK9
Coursera • Dec 2023
Credential ID: GBGZ96KPG53G
Docker, Inc • Apr 2024
Microsoft and LinkedIn • Mar 2024
DeepLearning.AI • Aug 2023
Credential ID: UMX34A82YCMV
Google Cloud • Mar 2024
Credential ID: NFMQ9VEFSXK9
Coursera • Dec 2023
Credential ID: GBGZ96KPG53G
Docker, Inc • Apr 2024
Microsoft and LinkedIn • Mar 2024
A. Ahmadikia, A. Shirzad, A. Saghiri
Journal of Science & Technology Libraries • 2024
DOI: 10.1080/0194262X.2023.2292049A. Shirzad, R. Abdollahipour, R. Darshi
10th International Conference on Control, Decision and Information Technologies (CoDIT) • 2024
DOI: 10.1109/CoDIT62066.2024.10708578A. Shirzad, R. Abdollahipour, R. Darshi
10th International Conference on Control, Decision and Information Technologies (ICEEE 2024), Conference powered by Microsoft • 2024
DOI: https://doi.org/10.1007/978-981-97-9112-5_27A. Ahmadikia, A. Shirzad, A. Saghiri
Journal of Science & Technology Libraries • 2024
DOI: 10.1080/0194262X.2023.2292049A. Shirzad, R. Abdollahipour, R. Darshi
10th International Conference on Control, Decision and Information Technologies (CoDIT) • 2024
DOI: 10.1109/CoDIT62066.2024.10708578A. Shirzad, R. Abdollahipour, R. Darshi
10th International Conference on Control, Decision and Information Technologies (ICEEE 2024), Conference powered by Microsoft • 2024
DOI: https://doi.org/10.1007/978-981-97-9112-5_27Discover the real experience of pursuing AI studies at BTU Germany, including curriculum insights, research opportunities, and practical learning approaches.
Explore the latest developments in RAG technology, practical implementation strategies, and real-world applications in the evolving AI landscape.
A comprehensive case study on modernizing legacy banking systems using ASP.NET Core microservices architecture, covering challenges, solutions, and best practices.
Discover the real experience of pursuing AI studies at BTU Germany, including curriculum insights, research opportunities, and practical learning approaches.
Explore the latest developments in RAG technology, practical implementation strategies, and real-world applications in the evolving AI landscape.
A comprehensive case study on modernizing legacy banking systems using ASP.NET Core microservices architecture, covering challenges, solutions, and best practices.
Let's connect on LinkedIn and explore how I can help you build production-ready AI solutionsLass uns auf LinkedIn vernetzen und besprechen, wie ich produktionsreife KI-Lösungen für dich baue
Connect on LinkedInAuf LinkedIn vernetzen