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 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 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 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 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:
AI Engineer & Software Architect with a proven track record of delivering enterprise-grade solutions from concept to production. I specialize in transforming complex business requirements into scalable, high-performance systems. Currently pursuing an M.Sc. in AI at BTU Cottbus-Senftenberg while leading cutting-edge projects including NASA Space Apps Challenge 2025 as team leader.
Professional Journey:
As a Senior Software Engineer at Refah Bank (2022-2025), I have architected and delivered mission-critical banking infrastructure serving millions of users. My expertise spans enterprise system modernization, AI integration, and cloud-native solutions, consistently delivering measurable business value through technology innovation.
Key Achievements & Impact:
🚀 NASA Space Apps Challenge 2025 - Led BTU Team representing BTU Cottbus-Senftenberg in developing NASA Exoplanet Explorer, an AI-powered platform for automated exoplanet detection using Kepler, TESS, and K2 mission data
💰 Electronic Stamp Platform - Architected Iran's first digital stamping system generating 3B IRR revenue with 90% ROI in 9 months (2M+ transactions processed)
⚡ Enterprise Microservices Migration - Led modernization of legacy banking systems, reducing downtime by 35% and increasing user engagement by 70%
🤖 AI-Powered Automation - Built production-scale LLM pipelines processing 10K+ requests daily, reducing manual effort by 95%
☁️ Cloud Cost Optimization - Delivered enterprise GCP analytics platform achieving 30% cost reduction with real-time monitoring
🧪 Quality Engineering - Established comprehensive testing frameworks achieving 100% coverage using TDD/BDD methodologies
Core Competencies:
Enterprise Backend: C#/.NET Core, Python, Node.js, ASP.NET Core, Entity Framework, Microservices Architecture
Modern Frontend: React/Next.js, TypeScript, Tailwind CSS, Blazor WebAssembly
Cloud & DevOps: Azure, AWS, GCP, Terraform, Docker, Kubernetes, CI/CD Pipelines
AI/ML & Data Science: LLMs, RAG systems, LangChain, OpenAI APIs, Machine Learning, Space Science, Exoplanet Detection, Computer Vision, QR Code Processing
Enterprise Architecture: Clean Architecture, Microservices, CQRS, DDD, SOLID principles, Design Patterns
Languages: English (C1), German (A2 - actively improving)
Value Proposition: I deliver enterprise-grade solutions that drive measurable business outcomes. Whether you are a CTO seeking scalable architecture, an entrepreneur needing technical leadership, or an HR professional evaluating technical talent, I bring proven expertise in AI/ML, cloud-native development, and team leadership to accelerate your organization's digital transformation.KI-Engineer & Software-Architekt mit nachweisbarer Erfahrung darin, Enterprise-Lösungen von der Idee bis zur Produktion zu liefern. Ich überführe komplexe Anforderungen in skalierbare, performante Systeme. Aktuell studiere ich M.Sc. AI an der BTU Cottbus-Senftenberg und leite Projekte wie die NASA Space Apps Challenge 2025 als Teamlead.
Beruflicher Weg:
Als Senior Software Engineer bei Refah Bank (2022-2025) habe ich geschäftskritische Banking-Infrastruktur für Millionen von Nutzern entworfen und umgesetzt. Mein Schwerpunkt: Modernisierung von Enterprise-Systemen, KI-Integration und Cloud-native Lösungen mit messbarem Business-Impact.
Wichtigste Erfolge & Wirkung:
🚀 NASA Space Apps Challenge 2025 – Leitung des BTU-Teams für den NASA Exoplanet Explorer, eine KI-Plattform zur automatisierten Exoplaneten-Detektion mit Kepler-, TESS- und K2-Daten
💰 Electronic Stamp Platform – Erste digitale Stempelplattform Irans mit 3B IRR Umsatz, 90% ROI in 9 Monaten (2M+ Transaktionen)
⚡ Microservices-Migration – Modernisierung von Legacy-Banking-Systemen, 35% weniger Downtime, 70% höhere Nutzerbindung
🤖 KI-Automatisierung – Produktionsreife LLM-Pipelines mit 10K+ Requests täglich, 95% weniger manueller Aufwand
☁️ Cloud-Kostenoptimierung – GCP-Analytics-Plattform mit 30% Kostenreduktion durch Echtzeit-Monitoring
🧪 Quality Engineering – Test-Frameworks mit 100% Coverage via TDD/BDD aufgebaut
Kernkompetenzen:
Enterprise Backend: C#/.NET Core, Python, Node.js, ASP.NET Core, Entity Framework, Microservices
Modern Frontend: React/Next.js, TypeScript, Tailwind CSS, Blazor WebAssembly
Cloud & DevOps: Azure, AWS, GCP, Terraform, Docker, Kubernetes, CI/CD
KI/ML & Data Science: LLMs, RAG, LangChain, OpenAI APIs, Machine Learning, Space Science, Exoplaneten-Erkennung, Computer Vision, QR-Code-Processing
Enterprise Architektur: Clean Architecture, Microservices, CQRS, DDD, SOLID, Design Patterns
Sprachen: Englisch (C1), Deutsch (A2 – im Ausbau)
Value Proposition: Ich liefere Enterprise-Lösungen mit messbarem Geschäftsnutzen. Ob skalierbare Architektur für CTOs, technische Führung für Gründer oder technische Evaluierung für HR – ich bringe Erfahrung in KI/ML, Cloud-native Entwicklung und Teamleitung mit, um digitale Transformation zu beschleunigen.
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
AI Engineer & Software Architect with a proven track record of delivering enterprise-grade solutions from concept to production. I specialize in transforming complex business requirements into scalable, high-performance systems. Currently pursuing an M.Sc. in AI at BTU Cottbus-Senftenberg while leading cutting-edge projects including NASA Space Apps Challenge 2025 as team leader.
Professional Journey:
As a Senior Software Engineer at Refah Bank (2022-2025), I have architected and delivered mission-critical banking infrastructure serving millions of users. My expertise spans enterprise system modernization, AI integration, and cloud-native solutions, consistently delivering measurable business value through technology innovation.
Key Achievements & Impact:
🚀 NASA Space Apps Challenge 2025 - Led BTU Team representing BTU Cottbus-Senftenberg in developing NASA Exoplanet Explorer, an AI-powered platform for automated exoplanet detection using Kepler, TESS, and K2 mission data
💰 Electronic Stamp Platform - Architected Iran's first digital stamping system generating 3B IRR revenue with 90% ROI in 9 months (2M+ transactions processed)
⚡ Enterprise Microservices Migration - Led modernization of legacy banking systems, reducing downtime by 35% and increasing user engagement by 70%
🤖 AI-Powered Automation - Built production-scale LLM pipelines processing 10K+ requests daily, reducing manual effort by 95%
☁️ Cloud Cost Optimization - Delivered enterprise GCP analytics platform achieving 30% cost reduction with real-time monitoring
🧪 Quality Engineering - Established comprehensive testing frameworks achieving 100% coverage using TDD/BDD methodologies
Core Competencies:
Enterprise Backend: C#/.NET Core, Python, Node.js, ASP.NET Core, Entity Framework, Microservices Architecture
Modern Frontend: React/Next.js, TypeScript, Tailwind CSS, Blazor WebAssembly
Cloud & DevOps: Azure, AWS, GCP, Terraform, Docker, Kubernetes, CI/CD Pipelines
AI/ML & Data Science: LLMs, RAG systems, LangChain, OpenAI APIs, Machine Learning, Space Science, Exoplanet Detection, Computer Vision, QR Code Processing
Enterprise Architecture: Clean Architecture, Microservices, CQRS, DDD, SOLID principles, Design Patterns
Languages: English (C1), German (A2 - actively improving)
Value Proposition: I deliver enterprise-grade solutions that drive measurable business outcomes. Whether you are a CTO seeking scalable architecture, an entrepreneur needing technical leadership, or an HR professional evaluating technical talent, I bring proven expertise in AI/ML, cloud-native development, and team leadership to accelerate your organization's digital transformation.KI-Engineer & Software-Architekt mit nachweisbarer Erfahrung darin, Enterprise-Lösungen von der Idee bis zur Produktion zu liefern. Ich überführe komplexe Anforderungen in skalierbare, performante Systeme. Aktuell studiere ich M.Sc. AI an der BTU Cottbus-Senftenberg und leite Projekte wie die NASA Space Apps Challenge 2025 als Teamlead.
Beruflicher Weg:
Als Senior Software Engineer bei Refah Bank (2022-2025) habe ich geschäftskritische Banking-Infrastruktur für Millionen von Nutzern entworfen und umgesetzt. Mein Schwerpunkt: Modernisierung von Enterprise-Systemen, KI-Integration und Cloud-native Lösungen mit messbarem Business-Impact.
Wichtigste Erfolge & Wirkung:
🚀 NASA Space Apps Challenge 2025 – Leitung des BTU-Teams für den NASA Exoplanet Explorer, eine KI-Plattform zur automatisierten Exoplaneten-Detektion mit Kepler-, TESS- und K2-Daten
💰 Electronic Stamp Platform – Erste digitale Stempelplattform Irans mit 3B IRR Umsatz, 90% ROI in 9 Monaten (2M+ Transaktionen)
⚡ Microservices-Migration – Modernisierung von Legacy-Banking-Systemen, 35% weniger Downtime, 70% höhere Nutzerbindung
🤖 KI-Automatisierung – Produktionsreife LLM-Pipelines mit 10K+ Requests täglich, 95% weniger manueller Aufwand
☁️ Cloud-Kostenoptimierung – GCP-Analytics-Plattform mit 30% Kostenreduktion durch Echtzeit-Monitoring
🧪 Quality Engineering – Test-Frameworks mit 100% Coverage via TDD/BDD aufgebaut
Kernkompetenzen:
Enterprise Backend: C#/.NET Core, Python, Node.js, ASP.NET Core, Entity Framework, Microservices
Modern Frontend: React/Next.js, TypeScript, Tailwind CSS, Blazor WebAssembly
Cloud & DevOps: Azure, AWS, GCP, Terraform, Docker, Kubernetes, CI/CD
KI/ML & Data Science: LLMs, RAG, LangChain, OpenAI APIs, Machine Learning, Space Science, Exoplaneten-Erkennung, Computer Vision, QR-Code-Processing
Enterprise Architektur: Clean Architecture, Microservices, CQRS, DDD, SOLID, Design Patterns
Sprachen: Englisch (C1), Deutsch (A2 – im Ausbau)
Value Proposition: Ich liefere Enterprise-Lösungen mit messbarem Geschäftsnutzen. Ob skalierbare Architektur für CTOs, technische Führung für Gründer oder technische Evaluierung für HR – ich bringe Erfahrung in KI/ML, Cloud-native Entwicklung und Teamleitung mit, um digitale Transformation zu beschleunigen.
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
