Software Developer focused on applied AI and cloud-native systems. I design and deploy full-stack architectures using Azure, Django, FastAPI, and OpenAI models to create production-grade tools that blend technical excellence with reliability.

Former military leader turned developer, bringing 14 years of operational experience to building systems that work under pressure.

AI-powered platform that generates personalized children's storybooks using gpt-4o and Azure OpenAI. Built with Django REST Framework, Azure infrastructure, and Lulu print-on-demand integration.

Tech Stack: Django, Azure OpenAI, PostgreSQL, Azure Blob Storage, Docker, Nginx

Blockchain-enabled sports prediction platform with event-driven architecture. Implements microservices, event sourcing, and asynchronous REST APIs.

Tech Stack: FastAPI, Redis, PostgreSQL, Docker, CI/CD

Student utility that parses university course schedule PDFs and exports them as recurring Google Calendar events. Emphasizes lightweight utility and real-world usefulness.

Tech Stack: Flask, Redis, Docker, Google Calendar API

Research-based ML pipeline for identifying celestial objects using U-Net segmentation models. Focused on data preprocessing, FITS integration, and model training.

Tech Stack: TensorFlow/Keras, Python, FITS, U-Net architecture

Building scalable AI-driven backends and cloud infrastructure with emphasis on:

• Retrieval-Augmented Generation (RAG) systems and ML model integration
• Production-grade Azure infrastructure and security
• Event-driven architectures and microservices design
• Applied AI that bridges technical capability with real-world utility

Made with jstrieb's GitHub Stats

When not developing, I'm usually outdoors exploring the West Coast or considering how technology can support creativity, learning, and positive impact. I enjoy working on projects that are meaningful, technically challenging, and creatively open-ended.

I'm always open to collaboration, learning, or sharing ideas. Feel free to reach out.