Summary
Reid Wyde is a data scientist and full-stack engineer with nine years of experience applying machine learning and signal processing to real-world problems across healthcare, audio, and financial systems. He blends research rigor—evidenced by published oncology work modeling chemotherapy and immunotherapy for HER2+ breast cancer—with production-grade engineering, shipping trading UIs, scalable data pipelines, and deepfake audio detectors. Reid has built high-performance systems in C++, Python, and TypeScript, accelerated research pipelines 100x with parallel computing, and created synthetic datasets to harden models against adversarial audio. He’s comfortable spanning the stack from reinforcement learning and computer vision to React/D3 visualizations and containerized deployments with Docker and Kubernetes. A longtime peer tutor and mentor, he brings clear communication and teaching experience to collaborative teams. Outside work he applies the same disciplined practice to piano and guitar, reflecting an engineer who values both technical depth and creative craft.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at The University of Texas at Austin
High School, High School at Highland Park High School
English, Spanish