Applied Machine Learning @ University of Maryland
LLM Systems • Machine Learning • Production-Oriented AI
I’m an Applied Machine Learning graduate student at UMD focused on building AI systems that go beyond experimentation.
My work sits at the intersection of:
- machine learning
- language models
- system design
I’m particularly interested in how models behave in real-world settings , reliability, evaluation, and deployment.
- Designing LLM systems that self-correct and adapt
- Moving from notebooks → production ready pipelines
- Building ML systems that are observable, testable, and scalable
ML • LLMs • RAG • Retrieval Systems • Model Evaluation • Feature Engineering • MLOps
- Improving reliability in LLM pipelines
- Exploring evaluation beyond accuracy metrics
- Building systems that integrate ML into real workflows
Focused on building AI systems that hold up in the real world.