📍 Greater Seattle Area | ✉ sshreyv@gmail.com
Visit shreyshah.dev to explore my portfolio, ask my AI agent, and see my AI-native development work.
name: Shrey Shah
located_in: Greater Seattle Area
job: Senior AI SDE @ Microsoft | AI Agent Developer | Harness Engineer
public_voice: "I teach AI-assisted coding and agents"
ambassador_roles: ["Claude", "Cursor", "v0"]
education: ["Master of Engineering - University of Windsor",
"Bachelor of Engineering - Gujarat Technological University"]
experience: "9+ years in Software Development | 3+ years in AI Engineering | 5000+ hours with AI coding tools"
current_roles:
- ["Senior AI SDE", "AI Agents, Harness Engineering & Microsoft Copilot", "Microsoft", "Greater Seattle Area", "2026-Present"]
- ["Claude Ambassador", "AI-Assisted Coding & Agent Workflows", "Anthropic", "Remote", "Present"]
- ["Cursor Ambassador", "AI Coding Workshops & Community Feedback", "Cursor", "Remote", "Apr 2025-Present"]
- ["v0 Ambassador", "Full-Stack AI Prototyping", "v0 by Vercel", "Remote", "Dec 2025-Present"]
past_experiences:
- ["Senior AI Software Engineer", "Multi-Agent Systems, RAG & Memory Architectures", "Vivun", "Canada/US", "May 2023-Mar 2026"]
- ["Lead SDET / Test Architect", "Test Automation & Backend Development", "Priceline", "USA", "June 2021-May 2023"]
- ["Automation Developer", "Test Framework Development", "Powerhub Inc", "Canada", "Sept 2020-June 2021"]
- ["QA Automation Engineer", "Blockchain, Mobile & IoT Testing", "NXM Labs", "Canada", "Feb 2019-Apr 2020"]
fields_of_interest: ["AI Agents", "Harness Engineering", "LLM Evals",
"Context Engineering", "Multi-Agent Workflows", "RAG Systems",
"Knowledge Graph Memory", "MCP Development", "AI-Assisted Coding",
"Self-Healing Systems", "Voice Agents"]
technical_background: ["LangGraph", "LangChain", "FastAPI", "Next.js", "TypeScript",
"Python", "Microsoft Copilot", "Claude Code", "Cursor", "v0",
"DSPy", "Vector Databases", "Knowledge Graphs", "ComfyUI",
"MCP Servers", "Test Automation", "CI/CD Pipelines"]
currently_learning: ["Agent Harness Design", "Production Evals", "Computer Use Agents", "AI Safety"]
hobbies: ["VR Gaming", "Photography", "AI Art", "Marvel & DC", "Tech Gadgets"]
achievements: ["Senior AI SDE @ Microsoft", "Claude/Cursor/v0 Ambassador",
"Hosted AI coding workshops for thousands of developers",
"Built full-stack apps live with AI-assisted workflows",
"Created MCPs and agent tooling for dynamic development",
"Open-sourced AI coding resources and personal agent workflows"]
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| 📦 Projects | ⭐ Stars | 🔀 Forks | 💻 Language |
| Awesome Claude Code Mastery |  |
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Resources |
| ComfyUI Themes |  |
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TypeScript |
| Awesome AI Agents |  |
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Python |
| LangGraph Interview Questions |  |
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Resources |
| Cursor Hub |  |
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Shell |
| unclaw |  |
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Shell |
"Building the AI-native future: agents that learn, self-improve, and make software teams faster without sacrificing reliability."
I'm a Senior AI SDE at Microsoft, an AI Agent Developer, and a Claude, Cursor, and v0 Ambassador. I talk about harness engineering, AI-assisted coding, and the shift from prompt demos to reliable agent systems.
My background in test architecture shaped how I build AI: every workflow needs guardrails, evals, feedback loops, and failure recovery. Today I focus on building agent systems that can plan, execute, review, and improve with humans in the loop.
- 🤖 Senior AI SDE @ Microsoft working on AI agents and Microsoft Copilot-oriented workflows
- 🧭 Claude, Cursor, and v0 Ambassador teaching AI-assisted development and agent workflows
- ⚡ 5000+ hours building with AI coding tools from early GitHub Copilot to modern agentic IDEs
- 🎤 Hosted workshops, conference sessions, and live demos for thousands of developers
- 🔧 Created MCP servers, Claude/Cursor workflows, and agent-native tooling for dynamic development
- 🧪 Advocating for evaluation-driven development so AI systems can be trusted in production
- 🧰 Designing agent harnesses for planning, tool use, review, and self-healing loops
- 🧠 Building memory systems with knowledge graphs, retrieval, and long-term context
- 📖 Developing advanced RAG systems: hybrid RAG, GraphRAG, and agentic RAG
- ⚗️ Optimizing agent quality with LLM-as-a-judge, evals, and adversarial testing
- 🔌 Creating MCP servers and workflow automation for real developer environments
- 🛡️ Making AI-assisted coding safer with guardrails, review agents, and reproducible workflows
When I'm not building AI systems, you'll find me:
- 🎮 Exploring virtual worlds in VR
- 📸 Capturing moments through photography
- 🎨 Creating AI art with Stable Diffusion and ComfyUI
- 🎬 Watching Marvel and DC stories
- 📱 Testing the latest productivity and AI gadgets