Mark Veillette
Senior Solutions Architect at NVIDIA
Westford, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMark Veillette is a Senior Solutions Architect and former Senior Technical Staff member at MIT Lincoln Laboratory who builds operational AI systems for weather and air-traffic resilience, now bringing that expertise to NVIDIA. He specializes in machine learning, deep learning, and probabilistic modeling to deliver production systems such as the FAA’s Offshore Precipitation Capability and the US Air Force’s Global Synthetic Weather Radar. His work spans real-time forecasting, synthetic radar generation, and decision-support for defense and civil aviation, coupling research-grade models with high-performance computing requirements. A Ph.D. in Mathematics with early research in stochastic processes and cell-motility modeling, he blends rigorous theory with practical system delivery and mentors the next generation of researchers. As co-lead of the MIT Earth Intelligence Engine and Associate Chief Editor for AI in the Bulletin of the American Meteorological Society, he helps shape both applied tools and the scientific conversation around AI for Earth systems. Colleagues describe him as someone who routinely moves algorithmic advances into operational workflows that demand reliability at scale.
11 years of coding experience
B.S. Mathematics, B.S. Mathematics at Bucknell UniversityPhD Mathematics, PhD Mathematics at Boston University
Github Skills (40)
sprinkler10
photovoltaic9
solar-energy9
python8
energy8
renewable-energy8
documented8
machine-learning8
datasets8
pytorch8
data-science7
lasagne7
scheduler7
aws7
tensorflow7
Programming languages (2)
Github contributions (5)
markveillette/rpi_sprinkler
Feb 2016 - Jun 2021
A scheduler system that turns on a sprinkler system based on past rainfall amounts
Contributions:38 commits, 1 PR, 30 pushes in 5 years 4 months
amountssprinklerschedulerturnsrainfall
MIT-AI-Accelerator/eie-sevir
Mar 2020 - May 2022
Contributions:17 commits, 49 pushes, 1 branch in 2 years 2 months
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