Data Scientist & Engineer
Building predictive systems and scalable pipelines that transform complex data into decisive action.
01 — About
I build intelligent systems that turn messy data into clear decisions. Currently finishing my M.S. in Data Science at Vanderbilt, I bring a Mechanical Engineering foundation that taught me to think in systems: tolerances, constraints, and trade-offs. Now I apply that rigor to machine learning pipelines, scalable architectures, and production AI.
My recent work spans industry and academia. At SERVPRO, I built a GPT-4 Vision agent that automates BI reporting for 13,500+ job records nightly, eliminating 40+ hours of manual work. At Nissan, I led a team that analyzed 140,000+ training logs and built a RAG-based chatbot presented to NA executives. In research, I achieved 98% accuracy on AI-generated image detection using deep learning.
Right now, I'm most energized by Generative AI, computer vision, and the craft of turning complex systems into intuitive experiences. When I'm not shipping code, you'll find me exploring the latest AI tooling, immersed in story-driven games, or watching WWE.
02 — Toolkit
03 — Background
SERVPRO
Vanderbilt University
Master of Science in Data Science
Relevant Coursework:
Probability and Statistical Inference, Survey of Data Science Applications, Exploratory Data Analysis, Machine Learning, Deep Learning, Gen AI Models, NoSQL, Data Science Algorithms
Bachelor of Technology in Mechanical Engineering
Relevant Coursework:
Problem Solving and Object-Oriented Programming, Statistics for Engineers, Linear Algebra, Programming Data Structures and Algorithms using Python
04 — Projects
05 — Resume
You can view or download my full resume below for more details on my education, skills, and experience.
06 — Contact
I engineer scalable data systems that drive real-world impact. If you're solving hard problems and need a partner who delivers precision at scale, let's talk.
