Graduate student in Electrical and Computer Engineering at Carnegie Mellon University, where my work includes AI/ML, deep learning, computer vision, NLP, and large language models, with a particular focus on building AI systems that are fair and unbiased. I have published research on fairness-aware biometric systems, am currently developing a multi-turn RAG pipeline for the SemEval competition, and serve as a Teaching Assistant for the Introduction to Deep Learning course at CMU.
Beyond research, I have a solid software engineering background, from building full-stack web and mobile applications to designing end-to-end machine learning pipelines that turn raw data into actionable insights.
I am driven by a genuine belief that technology should work equitably for everyone, and I bring that perspective to everything I build.
Outside of tech, drawing and painting keep me happy 🎨
💬 Ask me about machine learning, deep learning, NLP, LLMs, RAG, data science, or full-stack development
📫 Reach me at ftuyisen@andrew.cmu.edu
