I build cloud‑native SaaS for regulated industries — insurance, healthcare, enterprise operations. My
focus: clean architecture, observable systems, cost‑conscious design, and secure‑by‑default platforms. I
document learnings along the way.
Expertise
Cloud: Azure PaaS (App Service, Functions, SQL, Storage, Service Bus), multi‑region HA
Architecture: API design, event‑driven patterns, domain modeling, SaaS multi‑tenancy
AI: Agentic AI, RAG, vector search, responsible AI patterns
Data: Power BI, semantic modeling, analytics governance
Extract insights and patterns
across projects. Click any theme to explore the related case study.
🤖
AI & Intelligent Systems
Integrating AI agents, RAG pipelines, and vector search into enterprise workflows. Challenges: cost,
latency, responsible AI practices, observability.
🏗️
Multi‑Tenant SaaS Design
Scaling platforms for multiple customers while isolating data, managing costs, and maintaining reliable
communications. Lessons from email, SMS, and document collaboration.
☁️
Cloud Architecture & FinOps
Designing for cost-efficient Azure deployments. Patterns for PaaS selection, cost allocation in
multi‑tenant systems, and right‑sizing resources.
⚡
API Performance & Data Patterns
Moving logic from database to application layer. Query optimization, caching strategies, and designing
for both performance and maintainability.
AI in Claims, Risk & Audit Systems
AIAgentic AIData
Managing Azure Costs in a Multi‑Tenant SaaS Platform
AzureCost ManagementStrategy
Azure PaaS for Enterprise Claims & Risk Management
AzureArchitectureCost
Email & SMS for a Multi‑Tenant SaaS Product
EmailSMSCommunication
Online Document Editor for SaaS Claims & Risk
Document EditorSaaSStrategy
Moving Business Logic from Database to .NET API Layer