Accomplished AI Solutions Architect with 12+ years of enterprise technology leadership and 5+ years specializing in Azure cloud architecture. Expert in designing and implementing AI-powered solutions leveraging Azure AI services, machine learning platforms, and modern cloud-native architectures. Proven track record of leading digital transformation initiatives, optimizing cloud infrastructures for performance and cost, and architecting scalable solutions that drive business value. Microsoft certified Azure Solutions Architect Expert and AI Engineer with deep expertise in C#, .NET, and Azure PaaS/IaaS services.
Certifications
Microsoft Certified: Azure AI Engineer Associate (Sep 2024)
Microsoft Certified: Azure Solutions Architect Expert (Oct 2024)
Microsoft Certified: Azure Administrator Associate (Oct 2024)
Microsoft Certified: Azure Developer Associate (Dec 2020)
Core Competencies
AI & Machine Learning
• Azure AI Services (Cognitive Services, OpenAI Service)
• Natural Language Processing & Computer Vision
• MLOps & Model Deployment Strategies
• Responsible AI Implementation
• Bot Framework & Conversational AI
Cloud Architecture
• Azure PaaS/IaaS/SaaS Services
• Microservices & Container Orchestration
• Event-Driven Architecture
• API Management & Integration Services
• Infrastructure as Code (ARM, Bicep, Terraform)
Technical Stack
Languages: C#, Python, SQL, PowerShell
Frameworks: .NET 6/7/8, ASP.NET Core
Data: Azure SQL, Cosmos DB, Synapse
DevOps: Azure DevOps, GitHub Actions
Security: Azure AD, Key Vault, Zero Trust
Professional Experience
Key Achievements:
- Architected and deployed 15+ enterprise AI solutions using Azure Cognitive Services and OpenAI, resulting in 40% average efficiency gains
- Designed scalable multi-tenant SaaS architectures supporting 100K+ concurrent users with 99.9% uptime SLA
- Led migration of 50+ on-premises workloads to Azure, achieving 35% cost reduction through optimization
- Implemented MLOps pipelines enabling automated model training, versioning, and deployment
- Developed AI-powered document processing solution using Form Recognizer, processing 1M+ documents monthly
- Established Azure governance frameworks and landing zones following Microsoft Cloud Adoption Framework
Technical Initiatives:
- Built conversational AI solutions using Bot Framework and LUIS for customer service automation
- Implemented real-time analytics pipelines using Event Hubs, Stream Analytics, and Power BI
- Designed secure API ecosystems using API Management with OAuth 2.0
- Created reusable Infrastructure as Code templates reducing deployment time by 70%
- Architected cloud-connected industrial IoT platform processing 10M+ daily telemetry events
- Developed computer vision quality inspection systems using Azure Custom Vision
- Migrated legacy applications to microservices architecture on Azure Kubernetes Service
- Implemented predictive maintenance ML models reducing equipment downtime by 25%
- Built cloud-native 3D rendering pipeline on Azure Batch processing 5,000+ models monthly
- Developed AI-powered image enhancement algorithms improving visual quality by 60%
- Designed scalable content delivery architecture using Azure CDN and Blob Storage
- Led technical team of 12 engineers in agile development environment
- Delivered 30+ custom solutions integrating AI, IoT, and cloud technologies
- Developed Coursix platform - AI-driven course registration system for educational institutions
- Architected industrial automation solutions with remote monitoring capabilities
Notable Projects
Enterprise Document Intelligence Platform
- Designed AI-powered document processing using Azure Form Recognizer and Cognitive Search
- Processed 1M+ documents monthly with 98% accuracy in data extraction
- Reduced manual processing time by 85% through intelligent automation
Predictive Maintenance AI Solution
- Built ML pipeline using Azure Machine Learning for equipment failure prediction
- Achieved 92% accuracy in predicting failures 7 days in advance
- Integrated with IoT Hub for real-time telemetry from 10,000+ devices
Conversational AI Customer Service Platform
- Developed multi-channel bot using Bot Framework and Azure OpenAI Service
- Handled 50,000+ customer interactions monthly with 87% resolution rate
- Implemented sentiment analysis and intelligent escalation workflows
Education
- Rochester Institute of Technology - Computer Engineering
- University of Idaho - Computer Science
Additional Skills & Recognition
Methodologies: Agile/Scrum, DevOps, Design Thinking, Cloud Adoption Framework
Compliance: GDPR, HIPAA, SOC 2, ISO 27001
Leadership: Hiring Manager for Principal Architect positions, 30+ technical endorsements, Azure community speaker