💡 AI / ML Systems Developer & Cloud Engineer | RAG Architect | Azure • AWS • Docker • FastAPI
I’m a builder at the intersection of AI, data, and scalable cloud systems — passionate about turning complex ideas into production-ready solutions.
With over two decades of experience across data science, software engineering, and cloud architecture, I’ve led development of intelligent systems that power real-world decision-making — from AI-driven retail forecasting to real-time sports analytics.
I’ve also designed and deployed retrieval-augmented generation (RAG) pipelines, document intelligence systems, and agentic AI workflows that scale securely in Azure and AWS environments.
A multi-platform ecosystem using real-time MLB data to dynamically price players, run tournament pools, and deliver live stats through Redis-backed APIs, Azure Container Apps, and Supabase.
Predictive analytics platform for student housing and university enrollment forecasting, built with Python, Azure Container Registry, and CI/CD pipelines via GitHub Actions.
Building intelligent data agents and cloud-native pipelines that integrate Azure AI Search, OpenAI, and LangChain for explainable, production-grade reasoning systems.
Languages: Python • Java • C • SQL • Scala
Frameworks: FastAPI • LangChain • PyTorch • Spark
Cloud & Infra: Azure • AWS • Docker • Terraform • Supabase • Redis
Data & BI: Microsoft Fabric • Power BI • Postgres • Pandas
- ☁️ Containerized multi-service architectures deployed via Azure Container Apps
- 🔒 Secrets management through Azure Key Vault and GitHub Environments
- 🔄 CI/CD pipelines integrating Docker Scout, Super-Linter, and automated tests
- 🧠 AI-enhanced ETL pipelines pulling and modeling 20-year financial data sets
- ⚙️ Agentic AI Systems leveraging Claude, OpenAI GPT, and Azure Foundry RAG
💼 LinkedIn • 🐦 Twitter • 📧 Email
“Great systems don’t just analyze data — they understand it.”
— Jimmy Hendricks