Jess Forbes - Staff Software Engineer at SoFi

Jess Forbes

Staff Software Engineer at SoFi

Iowa City, Iowa, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Jess Forbes is a Staff Software Engineer with 14 years of experience combining biomedical imaging research and production engineering, currently leading platform and backend initiatives at SoFi in Iowa City. With an M.S. in Biomedical Engineering, they’ve built open-source medical imaging tools and a Nipype pipeline used for large-scale template creation, and contributed substantive ANTs denoising and registration integrations to the well-known nipype project. Their background spans full-stack scripting and systems work—Python, Java, C++, SQL—alongside hands-on DevOps: AWS self-service environments, internal NodeJS apps, and automation for secure file transfers. Comfortable switching between research-grade image processing and production services, Jess bridges academic rigour (MongoDB of 7M+ documents) with operational reliability and team leadership.

14 years of coding experience

10 years of employment as a software developer

Bachelor’s Degree, Mathematics, Biology, Bachelor’s Degree, Mathematics, Biology at Carroll College

Edinburgh Napier University

Master’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at University of Iowa

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (9)

workflow-engine10

python10

data-science10

neuroimaging10

brain-imaging10

cli9

command-line9

command-line-interface9

big-data8

Programming languages (2)

C++Python

Github contributions (5)

nipy/nipype

Oct 2012 - Feb 2016

Workflows and interfaces for neuroimaging packages

Role in this project:

Back-end Developer & Data Scientist

Contributions:17 commits, 4 PRs, 6 comments in 3 years 4 months

Contributions summary:Jess primarily contributed to the `nipype` repository by enhancing the `ants` interface, focusing on registration and image denoising. They added new command-line options and example parameters to the `ants.registration.py` file, improving its functionality. Furthermore, they wrapped the `DenoiseImage` tool from ANTs, integrating it with nipype and adding related testing infrastructure. Their work also involved fixing bugs and streamlining the output options for the denoising interface.

workflowneuroimagingpythondata-scienceworkflow-engine

BRAINSia/CardiacAgatstonMeasures

Apr 2014 - Jun 2015

Contributions:130 commits, 5 pushes, 3 branches in 1 year 2 months

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