Summary
Dylan Lewis is a computer science senior and graduate research assistant at the University of Tennessee, Knoxville, focused on applying deep learning to computer vision and pattern discovery in large unstructured datasets. Comfortable across C/C++, Python, and Rust, he blends systems-oriented thinking with data-driven model development, informed by internships in data engineering and hands-on software development at Hack4Impact. With nine years of experience in varied roles—from logistics and kitchen work to software and research—he brings practical resilience and a user-centered mindset to technical problems. His ongoing research pairs academic rigor with transferable production skills, positioning him to bridge prototype models and deployable data pipelines. Based in Knoxville, he’s especially interested in neural architectures that reveal structure in noisy, real-world signals.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Tennessee, Knoxville