Miguel Leon is a dashboard developer and data coach with 11 years of experience building end-to-end environmental data systems that span sensor integration, spatial analysis, machine learning, and web deployment. He combines strong technical skills in Python, R, SQL, cloud platforms, Shiny and Django with hands-on AI work using OpenAI APIs, PyTorch, Google Gemini and open-source language models to deliver custom, production-ready tools. His career includes managing multi-institution NSF-funded projects and stewarding long-running research data for a Critical Zone Observatory, demonstrating an ability to bridge academic science and operational systems. Miguel has moved between roles in higher education and K–12 research administration, translating complex geospatial and environmental data into accessible dashboards and decision tools. Notably, he pairs deep domain expertise in environmental science with practical project leadership gained from earlier enterprise systems and integration work.
11 years of coding experience
8 years of employment as a software developer
Bachelors of Science (BSc) Computer Science, Bachelors of Science (BSc) Computer Science at University of Wisconsin-Madison
Master Urban Spatial Analytics, Master Urban Spatial Analytics at University of Pennsylvania
CZ Manager (formerly ODM2 Admin) is an application for site level data management of environmental observations using Observation Data Model 2 (ODM2) for documentation and a detailed walkthrough see:
Contributions:10 releases, 21 commits, 272 PRs in 2 years 2 months
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