Summary
Thomas Trebat is a Full-Stack Software Engineer with 15+ years building scalable, secure enterprise systems across healthcare, education, finance, and government. He specializes in Java/Spring Boot backends, SQL optimization, and React frontends, and has deployed microservices on AWS with Docker, Kubernetes, and automated CI/CD pipelines. His work includes mission-critical systems for the VA and a fixed-income analytics platform that combined streaming, ML, and big-data processing, reflecting a knack for blending low-latency engineering with data-driven models. Now pursuing a Ph.D. at the University of North Texas, he applies deep learning and ML research (including ViT-inspired models and LLM prompt engineering) to wireless and HR-focused NLP problems, bridging academic research with production-ready software. Known for pragmatic architecture and measurable performance gains, he brings both hands-on implementation skills and a researcher's curiosity to complex system design.
15 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Computer Science, 3.58, Master of Science - MS, Computer Science, 3.58 at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computer Science, 3.67, Doctor of Philosophy - PhD, Computer Science, 3.67 at University of North Texas
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Gettysburg College