Eric Hansen is a Senior Engineer based in Chicago with 11 years of experience blending computational chemistry, computer vision, and MLOps to solve high-impact problems across healthcare and enterprise. He holds a Ph.D. from the University of Notre Dame where his Q2MM and CatVS methods accelerated catalyst and drug design and continue to be used at AstraZeneca. Eric has led and scaled production ML systems—real-time CV pipelines serving thousands of hospital rooms, MLOps platforms handling hundreds to thousands of requests per second, and automated model training/deployment workflows for Fortune 500 clients. He pairs hands-on engineering (GStreamer, Triton, Kafka, Azure, PySpark) with product-facing work, building privacy-compliant data pipelines and technical PoCs that helped startups commercialize AI. Equally comfortable directing teams as he is writing core code, he maintains open-source versions of his research tools and quietly accelerates scientific workflows that typically take weeks down to hours.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Chemistry, Bachelor of Science (B.S.) Chemistry at Grand Valley State University
Doctor of Philosophy (Ph.D.) Computational Chemistry, Doctor of Philosophy (Ph.D.) Computational Chemistry at University of Notre Dame
A simple python package for drawing attractive chemical reaction energy level diagrams
Contributions:1 PR, 2 comments in 2 years 3 months
diagramspythonreactionchemicalpython-package
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