Kevin Lin

I'm a new graduate software engineer with a strong foundation in mathematics and computer science, interested in building practical software systems that are reliable and scalable.

I recently graduated from Carnegie Mellon University with a B.S. in Mathematics and Computer Science (GPA: 3.91/4.0). During my time there, I worked as a research assistant at the Human-Computer Interaction Institute, contributing to LLM-based educational systems used in large-scale studies involving 44,000+ students across 147 research studies, with a focus on system evaluation and reliability.

My experience spans both software engineering and applied machine learning. I enjoy working on problems involving system design, data-driven applications, and improving the correctness and robustness of real-world software systems.

Currently, I'm building a PyTorch-based weather classification system and a full-stack RAG application using React, TypeScript, FastAPI, LangChain, and ChromaDB, covering frontend, backend, and retrieval pipelines.

I'm actively seeking full-time software engineering roles where I can contribute across backend, systems, or AI-related areas, and continue growing as a generalist engineer building real-world products.