Jon Cusick is a Lead Software Engineer in Boston with nine years of experience building high-throughput scientific and geospatial systems in Python and C++, often applied to carbon credit generation, agricultural modeling, and wildfire/spread simulations. He has led architecture and scaling efforts that transformed carbon credit pipelines to handle an order-of-magnitude more data, and has productionized complex physics and signal-processing stacks— including multi-threaded C++/CUDA code for real-time FFTs at extremely large lengths. Comfortable bridging research and engineering, Jon designs simulation environments, safety monitoring, and integration tests for novel vehicles and environmental models while mentoring teams on software best practices. His background in natural resources and a CS MS focused on machine learning uniquely positions him to translate messy, real-world datasets into validated, auditable models. Colleagues rely on him to make computationally intensive, interdisciplinary problems tractable and production-ready.
9 years of coding experience
7 years of employment as a software developer
Specialization Certificate Data Science, Specialization Certificate Data Science at Coursera
Continuing Education - Computer Science, Continuing Education - Computer Science at Tufts University
Bachelor of Science (B.S.) - Natural Resources & Ecology, Bachelor of Science (B.S.) - Natural Resources & Ecology at University of Vermont
Master of Science (M.S.) Computer Science Machine Learning, Master of Science (M.S.) Computer Science Machine Learning at Georgia Institute of Technology
French Studies, French Studies at Université Savoie Mont Blanc
Contributions:55 pushes, 4 branches in 1 year 6 months
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