CHANDAN MHJ

Hi, I'm Chandan.
I'm an AI Engineer in the making, fascinated by the idea of turning complex problems into systems that actually work.

My journey started with curiosity about why user data is stored and maintained, and what makes predictions useful. That curiosity gradually turned into a habit of building — experimenting with models, developing applications, working with data, and constantly trying to understand what happens beneath the surface.

I work across Artificial Intelligence, Machine Learning, Data Science, and Software Engineering, with a particular interest in building practical AI systems rather than keeping ideas confined to notebooks.

I've worked on projects involving LLMs, explainable AI, data analytics, privacy-preserving AI, machine learning, full-stack applications, and intelligent automation. One of the things I enjoy most is taking an idea that initially feels complicated or even unrealistic and breaking it down until I can build a working version of it.

I want to understand how AI models work, how they fail, and how they can be engineered into reliable systems. My projects are where I learn. Every project gives me an opportunity to explore a new technology, solve a new problem, make mistakes, and push my understanding a little further.

I'm particularly interested in the intersection of AI and real-world engineering — where models meet data, software, users, constraints, and actual problems. I enjoy working with technologies such as Python, PyTorch, NumPy, Pandas, SQL, MongoDB, React, Flask, FastAPI, and modern AI/LLM frameworks, while continuously expanding my technical stack.