Chip Franzén is a software engineer with 10 years of experience building data and ML pipelines for agriculture and plant-focused startups, now designing InnerPlant’s end-to-end IoT, computer vision, remote sensing, and inference stack as the company’s first software hire. He previously led data science and ML Ops efforts at Granular and Indigo, shipping production inference APIs and models for crop disease, weed management, and agronomic event detection. Comfortable across spatial data pipelines and computer vision, he blends hands-on engineering with team leadership and product-facing delivery. His background—from a Data Science M.Sc. in San Francisco to a BA in the History of Science—gives him a pragmatic, systems-oriented perspective on applied research. An early-career focus on experimentation (multi-armed bandits) and field-facing deployments hints at a particular strength in moving models from lab to real-world sensors.
10 years of coding experience
8 years of employment as a software developer
BA The History of Science, BA The History of Science at Duke University
Master of Science (M.Sc.) Data Science, Master of Science (M.Sc.) Data Science at Galvanize - San Francisco, SoMa
Contributions:1 release, 4 commits, 2 PRs in 11 months
multi-armed-banditsaccuratepythonbandits
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