Bringing 12+ years of enterprise expertise to AI/ML integration
Principal Engineer with deep expertise in Python, .NET, microservices, and cloud architecture. Currently exploring AI/ML integration through hands-on projects in LLMs, computer vision, and automation. Check my GitHub to see what I'm building this week.
Exploring practical AI integration patterns
From architecture to implementation to production
What I Build
Technologies I Use
How I Deliver
Open source projects and learning experiments
RTSP Stream Processing with AI
Experimental integration of YOLO object detection with LLM reasoning for real-time video stream analysis. Learning project exploring computer vision pipelines.
MCP Server Collection
Building multiple Model Context Protocol servers for VS Code Copilot integration. Includes LangChain, LlamaIndex, FastAPI, and Perplexity implementations.
AI Learning Labs
Collection of 20+ demo projects exploring LLMs, agents, and ML concepts. From Hugging Face SmolAgents to Anthropic Claude implementations.
ComfyUI Diffusion Workflows
Experimenting with text-to-image generation using ComfyUI, custom LoRA models, and orchestrated diffusion pipelines for branded imagery.
Enterprise Microservices Patterns
Production-tested .NET microservices showcasing CQRS, Event Sourcing, and clean architecture. Foundation for adding AI capabilities to enterprise systems.
Security & DevOps Automation
ML-powered security analysis, automated CI/CD pipelines, and infrastructure as code. From anomaly detection to automated deployments with GitHub Actions.