Enterprise AI Integration Architect | Prompt Engineering Specialist | Microsoft Ecosystem Expert

I solve practical AI integration problems in enterprise environments. My focus is on making AI accessible and useful for real business teams, particularly in Microsoft ecosystems.

Current Role: AI Integration Architect at Serrala (Treasury Services) Location: Pennsylvania Background: University of Tampa '23 | 9 Verified AI/ML Certifications

A production-ready, self-hosted prompt management system built to solve enterprise prompt library challenges.

The Problem: Teams need a secure, scalable way to store, share, and manage AI prompts across departments without relying on external services.

The Solution:

• 📚 2,376+ professional prompts organized across 9 business departments
• 🔒 Self-hosted with Docker Compose (enterprise security-friendly)
• ⚡ Production deployment on Render with admin dashboard
• 🎨 Built with: React, Express.js, Microsoft Fluent UI, Docker

Why It Matters: Born from real frustrations navigating Microsoft enterprise constraints. This project reflects my Reddit posts about needing "a floating button that lives within Microsoft Copilot chat" for prompt access.

View Project | See Discussion on Reddit

Current Focus:

• Exploring Model Context Protocol (MCP) integration with Microsoft 365 apps
• Building prompt library solutions that work within enterprise IT constraints
• Power Automate, SharePoint, and Teams integration for AI workflows

Active on Reddit:

• Discussing prompt management solutions in r/copilotstudio, r/ClaudeCode, r/AZURE
• Helping others navigate Microsoft enterprise AI integration challenges
• Sharing learnings from 2+ years of intensive AI tool usage

Day-to-Day:

• Frontend: React, Microsoft Fluent UI, Tailwind CSS
• Backend: Express.js, Node.js
• AI/ML: OpenAI API, Claude API (Anthropic), prompt engineering
• Microsoft Ecosystem: Power Apps, Power Automate, Teams, SharePoint, M365 Copilot
• Infrastructure: Docker, Azure (exploring)

Learning/Studying:

• LangGraph, CrewAI (multi-agent systems)
• Machine Learning fundamentals (DeepLearning.AI courses)
• Python for AI development

• Claude with the Anthropic API - Anthropic (Jul 2025) [Verify]
• Machine Learning Specialization - DeepLearning.AI (Jan 2025) [Verify]
• Deep Learning Specialization - DeepLearning.AI (Dec 2024) [Verify]
• Google Prompting Essentials - Google (Dec 2024) [Verify]
• Intro to AI & ML on Google Cloud - Google Cloud (Dec 2024) [Verify]
• AI for Business - UPenn Wharton (Sep 2024) [Verify]
• Python for Everybody - University of Michigan [Verify]

9 verified certifications earned in 12 months while working full-time. Focused on practical AI implementation, not just theory.

Published on LinkedIn:

• My Vision: Reliable AI Grounded in Sources, Proven in Execution (Sep 2025)
• Mastering AI Powered Research: Deep Research, Prompt Engineering, and Multi-Step Workflows (Jun 2025)
• Transforming Research in the AI Era: A Framework for Strategic Excellence (May 2025)

I actively study implementations from industry leaders. These are the projects I'm learning from:

• nanoGPT (Andrej Karpathy) - Understanding GPT training fundamentals
• autogen (Microsoft) - Learning agentic AI frameworks
• crewAI - Studying multi-agent orchestration
• fabric (Daniel Miessler) - AI augmentation patterns
• crawl4ai - LLM-friendly web scraping techniques
• NodeRAG - Heterogeneous graph-based RAG systems

Transparency: These are forks I study to understand best practices, not original work.

Reddit Activity:

• Active contributor in r/ClaudeCode, r/copilotstudio, r/AZURE, r/PowerApps
• Helping others solve Microsoft enterprise AI integration challenges
• Sharing real-world experiences with Power Automate, SharePoint, and Teams
• Discussing prompt library architectures and MCP integration

What I Help With:

• Navigating IT constraints in enterprise environments
• Microsoft Power Platform integration with AI tools
• Prompt management and organization strategies
• Claude Code workflows and best practices

See my discussions on Reddit

Curated collection of 1,000+ verified AI learning resources for complete beginners. Organized by topic with personal recommendations from my own learning journey.

Research-powered prompt engineering assistant that extracts insights from academic papers to generate optimized prompts. Python-based tool for prompt engineers.

Hands-on GitHub learning project (Snake game implementation). Part of my JavaScript learning path.

I'm always interested in discussing:

• Enterprise AI integration challenges
• Prompt engineering strategies
• Microsoft ecosystem automation
• Making AI accessible in corporate environments
• Claude Code workflows and best practices

Reach out:

• 💼 LinkedIn: Nick Westburg
• 🐦 Twitter: @AIwithNick
• 💬 Reddit: Background-Zombie689

• 🎓 University of Tampa '23
• 📜 9 verified AI/ML certifications
• 🚀 1 production app (SPARK library, 2,376+ prompts)
• 👥 Active in 9+ AI/ML subreddits
• 📝 3 published LinkedIn articles
• 🏢 Enterprise AI Integration Architect

This profile represents real work, honest learning, and genuine community contribution.

You won't find inflated claims or vaporware here. Every project mentioned exists. Every certification is verifiable. Every technology listed is something I can actually discuss in depth.

I'm a recent grad (2023) who's learned a ton in 12 months, built a real production application, and I'm passionate about making AI accessible in enterprise environments. That's the true story, and that's enough.

"The only thing worse than starting something and failing is not starting something."

Last Updated: November 2025