Summary
Nicholas Condo is a Senior Data Science Engineer with 11 years of experience applying machine learning and deep learning to real-world problems, currently leading computer vision and instance segmentation efforts at Solera using PyTorch, Kubeflow, and Google Cloud. He built production-ready ML systems end-to-end—from research and model training to cloud deployment—and has a track record of speeding up analytics workloads and migrating core tools to Flask/Docker/AWS. Prior roles include developing a high-performance daily fantasy sports lineup optimizer leveraging integer programming and vectorized Pandas/Numpy, and mentoring students in self-driving car projects, reflecting strong domain breadth across vision, optimization, and model engineering. With a background that blends finance, IT support, and an MS in Computer Science, he brings both rigorous engineering discipline and pragmatic production experience to cross-functional, distributed teams. Notably, he pairs deep technical work with a clear, almost Stoic motto—"Do, or do not. There is no try"—that underscores a results-focused approach.
11 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at DePaul University
Bachelor of Science in Business Administration, Finance, Bachelor of Science in Business Administration, Finance at Saint Joseph's University