Summary
David Pichler is a Staff Software Engineer focused on machine learning platforms with 11 years of engineering experience and a six-year track record in deep learning. Currently at Grainger, he architects and scales ML infrastructure that bridges research models and production systems. Prior roles at Intelinair, Stats Perform, and Capital One show hands-on experience deploying PyTorch, TensorFlow, and Deeplearning4j models across agriculture, sports analytics, and financial contexts. He combines a Computer Engineering foundation from UIUC with practical platform-building skills to improve model reliability, observability, and throughput. Known for thoughtful, production-first approaches, he brings both implementation depth and a systems perspective to ML lifecycle challenges. Based in the Greater Chicago area, he actively shares work on GitHub under UnyieldingOrca, signaling a continuous curiosity for new ML techniques and tooling.
11 years of coding experience
5 years of employment as a software developer
University of Illinois Urbana-Champaign