Garry Pedersen
AI & Cloud Solutions Architect | Greenfield Exploration & Development | IT Application Transformation | Innovation & Digital Enablement | IoT & AI Platform Management | Requirements Discovery
- Role
- Ai Solution Architect at Moog Inc.
- Location
- Tooele, UT, US
- LinkedIn followers
- 500 followers
About Garry Pedersen
A resourceful software engineering leader with extensive experience providing IT transformation and innovation consultancy to high-profile businesses on cloud migration, digital enablement, and Microsoft Azure-based IoT platforms. Employers recognize me for exploring, designing, deploying, and evaluating next-generation technology and IT solutions. Recently, I have focused on AI-based solutions, enhancing capabilities in machine learning, deep learning, data analytics, and automation.My ability to ensure cost-effectiveness, resolve business issues, and deliver a best-in-class user experience across multiple channels has been well-appreciated over the years. Throughout my career, I have demonstrated solid expertise in directing cross-functional teams with an inclusive, collaborative leadership style. I have established a reputation for identifying pain points, validating solutions, and revamping enterprise application portfolios. If you want to know more about me, please feel free to reach out at g••••••••@gmail.com.
Experience
Ai Solution Architect
Jul 2023 — Present · Tooele, UT, US
Architected and led implementation of an enterprise-grade, cloud-native AI platform for document intelligence and knowledge management, combining advanced RAG (Retrieval-Augmented Generation) with multi-modal AI processing.Architecture & Innovation:• Designed extensible microservices architecture using Clean Architecture and principles, optimized for Azure Container Apps• Created scalable platform supporting core services plus headless AI tools and specialized processing containers• Implemented RAG pipeline integrating Microsoft Semantic Kernel and Kernel Memory for context-aware responses• Architected multi-modal storage strategy leveraging Azure Cosmos DB, Blob Storage, AI Search, and Table StorageAI Integration:• Integrated Azure OpenAI (GPT-4, O1-Mini) and AWS Bedrock (Claude, Titan) for flexible LLM orchestration• Implemented hybrid vector search combining semantic similarity and keyword matching• Built intelligent document processing pipeline using Azure AI Document Intelligence• Created multi-persona conversational AI system with specialized agentsTechnical Leadership:• Led development using.NET 9.0 with Blazor WebAssembly AOT compilation• Implemented comprehensive security with Azure AD, customer-managed encryption, and private endpoints• Established DevOps best practices including Infrastructure as Code (Bicep) and automated CI/CD• Trained teams on AI integration patterns, RAG implementation, and cloud-native designStack.NET 9.0, Blazor WebAssembly, Azure OpenAI, AWS Bedrock, Semantic Kernel, Azure Cosmos DB, Azure AI Search, Docker, SignalRCompliance: FedRAMP-ready with GDPR/FISMA requirements
Education
Neumont University
B.S., Computer Science
2005 — 2007
Skills
- Test Driven Development
- Xaml
- Wf
- Microsoft Sql Server
- Linq
- T-Sql
- Tfs
- Architecture
- Nuget
- Web Services
- Asp.net
- Databases
- Soa
- Wpf
- Tortoise Svn
- Iis
- Soap
- Software Design
- Software Project Management
- Asp.net Mvc
- Design Patterns
- Wcf
- Unit Testing
- Entity Framework
- Winforms
- Web Development
- Soapui
- Ado.net
- Json
- Css
- Windows Azure
- .net Framework
- C#
- .net
- Oop
- Jquery
- Web Applications
- Xml
- Rest
- Orm
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