Presentation
Throughout my career as a senior developer and consultant, I have architected systems handling massive scale, including high-concurrency communications platforms. With working knowledge of SOLID principles, I’ve developed systems which are highly extensible, robust, efficient and cost effective.
My current focus is engineering intelligent enterprise systems. I don't just build basic wrappers; I design autonomous multi-agent workflows, custom RAG pipelines, and LLM orchestration layers using LangGraph and LangChain. I bridge the gap between cutting-edge AI capabilities and rock-solid, production-grade cloud architecture.
🧠AI-AUGMENTED ENGINEERING PHILOSOPHY
I treat modern AI coding assistants as powerful accelerators, not blind automated typists. While I leverage AI to supercharge delivery speed, my primary role is strict architectural governance. I ensure all AI-generated code perfectly aligns with the system's core architecture and remains maintainable over the long term. I never blindly inject code. I thoroughly audit it to prevent pattern dilution. Mixing architectural styles, even using code that is clean in isolation creates long-term technical debt if it does not fit the specific project ecosystem.
âš¡ CORE EXPERTISE
• Architecture: Software, Clean Architecture, SOLID, Serverless, Microservices, Multi-Agent
• GenAI Stack: LangChain, LangGraph, LLM Orchestration, RAG (Hybrid BM25), Vector DBs, Ollama
• Backend: C# .NET Core, Web API (OData), WCF, Entity Framework, Node.js, NestJS, Drizzle ORM
• Frontend: TypeScript, JavaScript, Angular, Next.js, React, TailwindCSS, Bootstrap, Kendo UI
• Cloud & Data: AWS (Lambda, Step Functions, API Gateway, Neptune, DynamoDB, Bedrock), SQL, Postgres
• Domains: CRM, ERP, High-Concurrency APIs, Automation (Worker Services, CronJobs)
