Summary
Lukas D is a software engineer based in California with eight years of hands-on experience building full-stack systems and machine learning infrastructure. He combines academic rigor from dual B.S. degrees in Computer Science and Statistical Science at Duke with practical production work—contributing to award-winning research on Stable Diffusion inference serving and applied projects spanning interpretable ML, domain adaptation, and multi-agent RL. Lukas has interned at Box, Fidelity, and Chicago Trading Company, tackling caching migrations, AI fairness tooling, and data visualization, and is now applying that breadth to engineering at The Voleon Group. Uncommonly for his tenure, he pairs deep research experience with production deployments, making him comfortable moving models from prototype to scalable services.
8 years of coding experience
3 years of employment as a software developer
International Christian University
B.S. Computer Science, B.S. Statistical Science, B.S. Computer Science, B.S. Statistical Science at Duke University