Crafting Intelligent Systems
I am an AI Solution Architect and Senior Software Developer with over 3 years of experience engineering scalable, production-ready systems.
My Story
My professional background is rooted in building complex logistics and manufacturing systems. I spent my early career developing robust manufacturing applications and human-machine interfaces using C# and Python , ensuring seamless machine communication across network protocols.
As I transitioned into managing containerized deployments and CI/CD pipelines for enterprise logistics web applications, I recognized the transformative potential of Generative AI. However, I also saw that integrating AI into business requires more than just API calls—it requires engineering rigor. Today, I combine my deep technical proficiency in Generative AI with a strict "production-ready" mindset to architect advanced multi-agent systems , secure RAG pipelines, and scalable cloud infrastructure.
Expertise
A selection of technical skills and areas where I have deep experience.
AI & ML Architecture
Specialized in RAG (Retrieval-Augmented Generation), LangGraph workflows, local LLM deployment, and building custom Model Context Protocol (MCP) servers to bridge AI with external tools.
Backend & Cloud DevOps
Expert in Python and C# , with hands-on experience managing highly available deployments using Docker, Kubernetes, Azure, and Alibaba Cloud.
Data Engineering & Search
Implementing vector databases like Chroma and PostgreSQL (pgvector) for semantic search, alongside Neo4j for advanced Graph RAG capabilities.
Full-Stack & Microservices
Architecting scalable backends utilizing FastAPI, RabbitMQ for asynchronous task processing, and Redis for session management , paired with modern Next.js and ASP.NET Core applications.