About Me

I’m an AI/ML engineer, applied researcher, and PhD candidate at the University of Maryland, Baltimore County, where my work focuses on multimodal learning and trustworthy human-robot interaction. My research explores how large language models interpret grounded instructions—integrating text, visual context, and sensor signals to help robots understand what humans mean, not just what they say.

I currently serve as a Senior AI/ML Engineer at Booz Allen Hamilton in a cleared role, where I design and support machine-learning capabilities for high-impact programs. My work spans model evaluation, data pipelines, automation, and applied ML system design. Before transitioning into this role, I spent a year as a Senior Agile Engineer and Release Manager, coordinating complex software releases across multiple systems and leading initiatives that improved operational efficiency and delivery reliability.

Before graduate school, I built and shipped several real-world systems across mobile development, web engineering, and data-driven products. I’ve always enjoyed projects where clean engineering, thoughtful design, and tangible impact come together.

Today, my focus is split across three areas: developing data-efficient multimodal models for robotics and autonomous systems; building AI-driven productivity tools, including my ResumeTailor platform; and designing reliable ML pipelines that move ideas from prototype to production. I enjoy solving ambiguous problems, turning research insights into practical solutions, and creating tools that make people more capable.