Ryan Velazquez
Staff AI Engineer at Newfront
Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Velazquez is a Staff AI Engineer with nine years of experience bridging environmental engineering and applied machine learning to turn complex, messy data into actionable insights. He began his career investigating and remediating contaminated sites, bringing domain expertise in groundwater, soil, vapor intrusion, and a wide range of remediation technologies to data-driven projects. At Azimuth1 he worked as a forward-deployed engineer building predictive analytics, satellite image processing, and routing tools, and he has since progressed at Newfront from Data Scientist to Staff AI Engineer. Ryan combines a civil engineering foundation from Penn State with hands-on skills in Python, TensorFlow, and full-stack JavaScript to deliver production-ready models and tools for public safety, logistics, and environmental clients. He’s comfortable translating regulatory and field constraints into pragmatic ML solutions and has a demonstrated ability to move from lab-scale algorithms (genomic analysis) to operational systems. Based in Oregon, he brings interdisciplinary collaboration—working with geologists, ecologists, chemists, and analysts—to bear on impactful engineering and AI problems.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Penn State University
Stackoverflow
1reputation
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Github Skills (119)
virus10
package-management10
python10
immunology10
genomics10
pipeline10
science10
bioconda10
data-science10
conda10
workflow-engine10
geometric10
evolution10
sequencing10
docker10
Programming languages (14)
Github contributions (5)
rdvelazquez/whichstate.js
May 2020 - Sep 2021
Simple javascript package to find which US state a lat, lon point is in
Contributions:1 release, 6 PRs, 9 pushes in 1 year 4 months
pointjavascriptjavascript-packagelat
rdvelazquez/datamonkey-js
Jul 2018 - May 2019
Datamonkey - Run state-of-the-art statistical models through the comfort of your browser
Contributions:2 PRs, 80 pushes, 41 branches in 10 months
artbrowserstatisticalstate-of-the-artmachine-learning
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