The questions I want to spend more time with.
Working professionally has shown me what can be built. It has also made me more interested in the methods, systems, and ideas behind those solutions.
Machine Learning
I want to deepen my understanding of predictive modeling, feature engineering, model evaluation, and the methods that make learning systems more robust and reliable.
AI & NLP
My experience building LLM-based applications has made me interested in how language models can work with structured information, produce reliable outputs, and become useful components of real systems.
Data Systems
Working with large production datasets has made me increasingly interested in data quality, information retrieval, entity resolution, large-scale processing, and the systems that support analytical and machine learning workloads.
Applied AI
I am interested in the gap between a model that works in an experiment and a system that works reliably in the real world.
The more I build, the more questions I find.
Working professionally has given me practical exposure to data, machine learning, and AI. It has also shown me the limits of what I currently know.
I want graduate study to strengthen the theoretical foundations behind the systems I build, expose me to deeper methods, and give me the environment to explore problems that require more than an immediate production solution.