David Pichler

Staff Software Engineer, Machine Learning Platform

Greater Chicago Area United States
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Summary

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Senior
🎓
Top School
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.
code11 years of coding experience
job5 years of employment as a software developer
bookUniversity of Illinois Urbana-Champaign
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Stackoverflow

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Github Skills (66)

model-management10
prompt-engineering10
mlmodel10
mlflow10
llmops10
ai10
golang10
faiss10
observability10
image-search10
intellij10
evaluation10
langchain10
machine-learning10
openai10

Programming languages (4)

JavaC++GoPython

Github contributions (5)

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UnyieldingOrca/dl4j-rl

Jun 2016 - Jun 2018

Contributions:10 commits, 9 pushes, 1 branch in 1 year 11 months
UnyieldingOrca/timberline

Sep 2025 - Jan 2026

AI-powered log analysis and actionable reporting
Contributions:3 PRs, 14 pushes, 3 branches in 3 months
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