Architecting Clarity. Building for the Long Term.

With over 25 years of hands-on experience in software engineering and enterprise architecture, I design robust, scalable, and future-ready systems aligned with real business goals. My work spans enterprise platforms, cloud-native systems, APIs, and modernization programs where performance, security, and maintainability are non-negotiable.

In recent years, my focus has expanded into applied AI and generative architectures — designing intelligent assistants and RAG-based systems using Azure AI Foundry and GPT models. I specialize in embedding AI into enterprise-grade, production-ready solutions, particularly within the FinTech domain.

My approach is grounded, disciplined, and practical: clarity over complexity, architecture over hype, and long-term value over short-term wins.

Let’s build systems that are clean by design, resilient by default, and ready for what’s next.

Expertise & Focus Areas

Architecture Patterns

System: Microservices, Event-Driven, BFF, Serverless, Micro Frontends
Application: Clean Architecture, Modular Monolith, Layered, SOA
API: REST, gRPC, GraphQL, SOAP

Technology Stack

Platforms: Microsoft Azure, AWS
.NET: ASP.NET, Blazor (Server & WASM), EF Core
Data: SQL Server, MongoDB, Redis
Languages: C#, SQL, JavaScript, PowerShell

DevOps & Tooling

GitHub, GitHub Actions, Docker, Terraform
CI/CD, Infrastructure as Code, Automation
Visual Studio, VS Code, Cloud-native tooling

AI & Innovation

RAG-based assistants and AI copilots
Azure AI Foundry, OpenAI APIs, GPT models
Prompt engineering, embeddings, semantic search
Production-focused AI architecture (not demos)

Enterprise Strategy

Legacy modernization & domain-driven design
Cloud and hybrid architectures
Security, identity, observability by default
Pragmatic EA frameworks with lean governance

Leadership & Mentorship

Architecture reviews, standards, governance
Mentoring teams on Clean Architecture & APIs
Driving DevSecOps and sustainable delivery