About Me

I am a data-driven analyst and AI engineer focused on building intelligent systems that turn complex information into clear, actionable outcomes.

My work sits at the intersection of analytics, machine learning, and applied AI. I design end-to-end analytics solutions, build scalable ML and LLM-powered systems, and deliver tools that help teams make faster, more informed decisions. I most recently worked as a Data Analyst at U.S. Cellular, where I led a large BI migration, automated data pipelines, and integrated AI-driven natural language interfaces directly into enterprise dashboards.

I specialize in agentic AI systems and applied machine learning. I have built multi-agent architectures for enterprise automation, including LLM-powered recruiter tools and collaborative Slack-based agents. I am also the lead author of an IEEE Access-published research paper on multi-agent AI for cyber threat intelligence. Our system achieved a 14% improvement over single-agent approaches by coordinating specialized agents to analyze dark web data.

My technical background is supported by strong business and systems thinking. Earlier in my career at KPMG, I worked in technology assurance, where I evaluated IT controls, assessed risk, and collaborated with cross-functional stakeholders. That experience shaped how I approach engineering today. I focus on building solutions that are technically sound, reliable, and aligned with real organizational needs.

Additionally, I hold a Master's in Computer Science with a specialization in Artificial Intelligence from Georgia Tech. My academic work covered deep learning, graph neural networks, robotics, and AI systems design. I enjoy problems that require both theoretical rigor and practical execution, from model development to production deployment.

Outside of work, I stay active and creative. I spend time boxing, working out, and traveling, which helps me stay disciplined and adaptable. I am also a photographer and enjoy capturing moments that combine structure with spontaneity. Alongside these interests, I regularly build personal side projects that explore state-of-the-art AI technologies, using them as a sandbox for experimentation and continuous learning.