Fatima Khan

I’m a BSCS student and AI builder currently interning in Machine Learning at FlyRank AI, completing Anthropic’s AI Fluency coursework alongside applied model work. I’m focused on turning LLM ideas into working systems, not just experimenting in isolation.

I’m comfortable across the LLM app-building stack—Python and JavaScript, REST APIs, FastAPI backends, prompt design, tool/function calling, and structured outputs. I ship working prototypes by running a full build → integrate → test loop, and I’ve already taken three end-to-end AI systems from data to deployed, testable products.

In my Student Mental Health AI System, I built a stress prediction and stress-cause analysis pipeline with a FastAPI backend serving real-time predictions. I also implemented explainable AI visualizations so results are interpretable, and I connected a responsive frontend directly to the ML API.

My other projects reinforce how I productize ML: I designed, trained, and evaluated multiple classification models and shipped a live Streamlit HR Workforce Intelligence demo. I also built a Superstore Sales Intelligence dashboard with KPI tracking, filtering, and profit-prediction models—staying disciplined about what’s actually useful versus hype as new model releases and dev frameworks emerge.