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azd-multiagent-system-maf
November 27, 2025 – November 27, 2025
azd-multiagent-system-maf — Dev.to repository
View Projectazd-multiagent
October 4, 2025 – October 6, 2025
This repository demonstrates a full end-to-end implementation of a production-ready multi-agent solution on Azure using Azure AI Foundry Agent Service. The example recreates a ticket-triage system where a primary agent delegates tasks to three specialists: priority determination, team assignment, and effort estimation.
View Projectopenai-for-devs
June 14, 2025 – June 25, 2025
Azure OpenAI for Devs: Examples, tutorials, and templates for developers integrating OpenAI and Azure OpenAI (GPT, LLMs) into real-world apps. Includes Python, JavaScript, and REST API code samples, best practices, and deployment guides for AI, chatbots, and automation. Ideal for developers, engineers, and cloud architects building with OpenAI APIs
View Projectazure-ai-at-ignite
October 19, 2024 – December 2, 2024
A one-stop shop for everything Azure AI at Ignite!
View Projectaistudio-copilot-sample
September 28, 2023 – May 21, 2024
Sample quickstart repo for getting started building an enterprise chat copilot in Azure AI Studio
View ProjectAzure-Architecture-Explained
October 18, 2022 – January 24, 2025
Azure Architecture Explained, published by Packt
View Projectazinsider
October 20, 2021 – Present
🚀 The AzInsider Repo offers code samples to help you deploy various workloads in your Azure environment using Bicep language. It simplifies the deployment process and makes it easy to get your applications up and running in Azure. Check it out!
View Projectdeployment-stacks
July 12, 2021 – Present
Contains Deployment Stacks CLI scripts and releases
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Azure-specific AI/ML and infrastructure. While this indicates a deep specialization, the lack of diversity in cloud platforms or broader data science applications (e.g., pure statistical modeling, big data processing outside Azure, diverse ML frameworks) might limit adaptability to environments not heavily invested in Azure. The projects are primarily personal, which can indicate self-motivation but lacks evidence of team collaboration in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.