Stage
Foundation
Physics Background
My academic background in Physics shaped the way I approach engineering: analytical thinking, problem decomposition, systems understanding, and curiosity about how complex things work.
Who I Am
An engineer focused on systems, not just code.
My work sits at the intersection of AI engineering, backend systems, DevOps, and modern web development. I enjoy building software that is not only functional, but also scalable, reliable, observable, and maintainable.
Most of my strongest work is behind the scenes: backend services, APIs, infrastructure, automation, AI workflows, deployment systems, and architecture decisions. These are not always visible in a user interface, but they are the foundation that makes serious software work.
At the same time, I care about frontend quality. A strong product needs clean interfaces, good performance, thoughtful UX, and clear communication. That is why I also build polished React and Next.js experiences that reflect the quality of the systems behind them.
Engineering Journey
From analytical thinking to production AI systems.
My path combines scientific thinking, backend engineering, cloud infrastructure, and modern AI development.
Stage
2017+
Software Engineering
I started building production software with a strong focus on backend development, APIs, databases, and scalable application architecture.
Stage
Backend
Distributed Systems & APIs
Over the years, I worked deeply with Node.js, TypeScript, Python, REST APIs, GraphQL, gRPC, microservices, event-driven systems, and production backend platforms.
Stage
DevOps
Cloud, Containers & Automation
I expanded into Docker, Kubernetes, Linux, CI/CD, infrastructure automation, and production deployment workflows to understand how software runs beyond the codebase.
Stage
AI
Production AI Engineering
My recent focus is building AI systems with LLMs, AI agents, MCP servers, RAG pipelines, vector databases, OpenAI, Ollama, LangChain, Python, and TypeScript services.