Summary
Sheik Dawood is a founding machine learning engineer with 12 years of experience building production-ready deep learning systems and research prototypes across startups and large tech companies. He blends hands-on expertise in Python/PyTorch and C++ with applied research in 3D computer vision, generative AI, and reinforcement learning, delivering solutions from 0 to 1 in small, fast-moving teams. His recent roles span automating VFX at Amazon, foundation-model research for cybersecurity at CrowdStrike, and launching Vinci4D.ai to commercialize ML-driven 3D workflows. He has a strong academic foundation from Purdue where he developed novel generative models (VAE + Neural ODE) for conditional compound generation and earlier work optimizing neural nets for FPGA inference. Based in Palo Alto, he thrives at the intersection of research and production engineering, often turning complex vision and geometry problems into practical, deployable systems.
12 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Purdue University
English, Tamil