Engineered a context-aware, AI-powered discovery

Engineered a context-aware, AI-powered discovery engine designed to solve the pedagogical disconnect in research and learning. The system acts as a high-performance orchestration layer, seamlessly merging localized datasets with global data providers (OpenAlex, Google Books) to curate resources specifically tailored to a user's comprehension level.

Architecture & Logic:

Backend: Built a decoupled REST API orchestration layer using ASP.NET Core.

AI Engine: Integrated ML.NET (matrix factorization) for predictive multiclass classification.

Algorithm: Designed a custom Contextual Re-Ranking formula weighing semantic similarity against user demographics.

Infrastructure: Fully automated CI/CD pipeline deployed to Microsoft Azure (Linux Containers).