I'm currently transitioning into AI & GenAI Engineering and believe in being transparent about where I am in that journey.
Instead of chasing every new AI trend, I've built a structured roadmap that takes me from Python fundamentals to production-ready AI engineering. My goal is to develop strong engineering skills first and then apply them to modern AI systems.
I'm currently strengthening my Python and backend fundamentals. Over the coming months, I'll be building projects with FastAPI, Docker, PostgreSQL, Redis, RAG, LangChain, LangGraph, Agentic AI, MCP, cloud deployment, and production AI workflows.
My background includes NIELIT (O Level and A Level – AI Specialization) along with a BA, which means I come from a non-traditional path rather than a computer science degree. That has taught me to learn by building, staying consistent, and solving real problems instead of only following tutorials.
I enjoy documenting my learning journey, sharing projects, and continuously improving my engineering skills. My goal isn't just to use AI models—it's to build reliable, scalable AI applications that solve real-world problems.
I'm always happy to connect with AI Engineers, GenAI Engineers, Python Developers, recruiters, and anyone passionate about building production-ready AI systems.