PatrickĀ Aselin

Machine Learning Engineer III at VulcanForms Inc.

Greater Boston United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

šŸ‘¤
Senior
šŸŽ“
Top School
Patrick Aselin is a Machine Learning Engineer III with 8 years of experience building on-premise cloud services and production ML analytics for industrial and additive manufacturing. Currently at VulcanForms, he architects data infrastructure, rapid web apps, and hardware-integrated analytics to make manufacturing insights accessible across technical and non-technical stakeholders. Previously at IBM he converted research scripts into deployable frameworks, built explainable ML dashboards that tie SHAP outputs to geospatial maps, and developed tooling to simplify AzureML and visualization workflows. With dual BS degrees in Mathematics and Materials Engineering from RPI, he blends rigorous quantitative reasoning with hands-on process-control and PLC experience dating back to undergraduate research. Colleagues describe him as a practical implementer who moves models from prototype to scalable systems while keeping usability and operational constraints front and center.
code8 years of coding experience
job4 years of employment as a software developer
bookRice Memorial High School
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Rensselaer Polytechnic Institute
github-logo-circle

Github Skills (31)

shiny-server10
shiny10
raspbian10
backport10
regression10
raspberry-pi-os10
rshiny10
data-science9
r9
python9
machine-learning9
bash9
scikit-learn9
raspberry-pi8
twine8

Programming languages (6)

PowerShellShellCJupyter NotebookMATLABPython

Github contributions (5)

github-logo-circle
Bash Script to Install and Uninstall R Shiny Server on Raspberry Pi
Contributions:39 commits, 4 PRs, 43 pushes in 2 years 6 months
bashraspberry-pirshinybackportbash-script
pjaselin/Cubist

Apr 2021 - Apr 2022

A Python package for fitting Quinlan's Cubist regression model
Contributions:34 releases, 5 reviews, 267 commits in 1 year
pythonmachine-learningregressiondata-sciencescikit-learn
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial