I am a PhD student in Operations Research & Systems Engineering at the University of Miami, with an undergraduate background in Mechanical Engineering. I also work at the Center for Naval Analyses (CNA), the Navy’s federally funded research and development center, where I contribute to data driven research and operational analysis for defense applications.

• Continual learning methods for large language models
• Reinforcement learning environments for complex optimization problems

A recent write up exploring how Evolution Strategies (ES) can be applied to LoRA adapters instead of full parameter fine tuning, reducing compute cost while enabling exploration-based optimization.
Blog Post: Evolution Strategies + LoRA

Proposed a gated continual learning method for LLMs that applies LoRA based updates only when they meet stability criteria, reducing catastrophic forgetting while enabling efficient sequential adaptation.
Paper: arXiv

Developed YOLO based detection and segmentation models for surgical instrument tracking and designed temporal metrics for evaluating surgical skill.
Paper: ScienceDirect

Hands on exploration of POMDPs and latent representation learning for decision making under uncertainty.

Built reinforcement learning models to optimize routing and decision making for eVTOL operations under uncertainty.
Paper: ACM Digital Library Project: FAA Data Challenge Finalists

• Reinforcement Learning for Weapon Optimization: Built RL environments to model weapon effectiveness, engagement sequencing, and operational decision making under uncertainty.
• Defense Modeling and Analytics: Conducted end to end modeling work including data engineering, feature development, statistical analysis, and predictive modeling for Navy datasets.