Summary
Dylan Walker is a Machine Learning Engineer with 8 years of experience specializing in generative AI, multimodal learning, computer vision, and NLP, currently applying his skills at Waymo in San Francisco. He combines a strong mathematical foundation (BS in Mathematics) and an MEng in Computer Science from Cornell with hands-on system design and PyTorch expertise to move research into production. Dylan’s work spans 3D scene reconstruction, biometric recognition, and anomaly detection, including research that improved benchmarks by over 30% and a legal-text NLP system that cut runtime by 90% for deployment at Cornell’s Legal Information Institute. He has a track record of closing domain gaps between synthetic and real data using GAN inversion and style transfer, and has driven measurable gains in recognizability and robustness in deployed systems. Passionate about humanitarian impact, he thrives in collaborative, technically challenging environments where creative solutions meet production constraints.
8 years of coding experience
3 years of employment as a software developer
Billerica Memorial High School
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell University
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Rensselaer Polytechnic Institute