AI & Cloud Solutions Architect specializing in Azure, DevOps automation, and AI/ML integration
# Building intelligent cloud solutions
def deploy_ai_solution():
return {
"cloud": "Azure",
"ai_models": ["GPT-4", "BERT"],
"status": "production_ready"
}
Passionate AI & Cloud Solutions Architect with 9+ years of experience in designing and implementing scalable, intelligent systems that drive business transformation.
I specialize in democratizing AI through cloud-native solutions, helping organizations leverage the power of artificial intelligence and machine learning to solve complex business challenges.
My expertise spans across Azure cloud services, DevOps automation, and full-stack development, bringing a holistic approach to technology solutions.
# Azure DevOps Pipeline
trigger:
branches:
include: ["main"]
stages:
- stage: DeployAI
jobs:
- job: Azure_ML_Deploy
steps:
- task: AzureFunctionApp@1
A Model Context Protocol (MCP) server that enables AI assistants like GitHub Copilot and Claude to interact directly with Microsoft SQL Server databases — run queries, explore schemas, and manage data through natural language.
Python-based WebSocket framework that bridges Azure Communication Services (ACS) calls with AI voice agents for real-time, bi-directional voice interaction. Supports multiple AI providers including ElevenLabs and Azure OpenAI.
End-to-end solution to track, store, and visualize GitHub Copilot usage metrics using Azure Functions, Azure Storage, and Power BI. Features comprehensive dashboards for monitoring productivity and cost savings.
Free, offline AI chatbot powered by multiple local LLMs with a modern Streamlit interface. Features 4 GPT4All models, real-time status monitoring, and 100% privacy-focused design.
Let's discuss how AI and cloud solutions can bring your vision to life. I specialize in creating scalable, intelligent systems that drive real business results.