A lightweight Retrieval-Augmented Generation (RAG) backend for high-volume customer support scenarios, with production-minded engineering (profiles, Docker infra, caching, and degradation drills).
A review filtering system powered by AI models we trained (FastBERT + Qwen3-8B multimodal, with RAG/FAISS) to separate genuine customer feedback from spam and ads in real time.
This OpenGL portfolio is a curated collection of my CS3241 coursework, built in C++ with FreeGLUT on Visual Studio 2022. Across five assignments, I progressed from core 2D transformations to animation systems, lighting and shading, Bezier curve modeling, and finally ray tracing with shadows and texture mapping.
