John Lee
Software Engineer at BlackRock
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJohn Lee is a software engineer in New York with 11 years of cross-disciplinary experience blending mechanical engineering, rapid prototyping, and backend software development. Currently at BlackRock, he brings a systems-oriented mindset honed through roles at Bosch Rexroth and embedded systems work, translating hardware intuition into robust software and automation. An active open-source contributor, he has improved test coverage and maintainability in notable projects like nipype (neuroimaging workflows) and pytorch/ignite, and has automated package builds for the conda-forge ecosystem. He’s comfortable refactoring legacy code, surfacing clearer errors, and shipping reproducible builds—skills that reflect both engineering rigor and attention to developer experience.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Georgia Institute of Technology
Stackoverflow
83reputation
14kreached
3answers
1question
Github Skills (28)
pytorch10
conda-forge10
dataflow-programming10
pytest10
dataflow10
python10
r10
testing10
machine-learning10
workflow-engine10
automation10
neuroimaging10
automations10
refactoring10
brain-imaging9
Programming languages (17)
Github contributions (5)
nipy/nipype
Jul 2017 - Sep 2019
Workflows and interfaces for neuroimaging packages
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:11 commits, 3 PRs, 11 comments in 2 years 2 months
Contributions summary:John primarily contributed to improving the `nipype` neuroimaging library through bug fixes, feature enhancements, and test improvements. Their work included resolving issues in the `dcm2nii` interface, enhancing tab completion features for traits within the codebase, and adding test coverage for these enhancements. The user also addressed dynamic trait handling and refactored tests. Furthermore, the user added a 'goforit' option to Remlfit.
workflowneuroimagingpythondata-scienceworkflow-engine
conda-forge/staged-recipes
Oct 2022 - Dec 2022
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:1 review, 33 commits, 18 PRs in 2 months
Contributions summary:John contributed to the `conda-forge/staged-recipes` repository by adding recipes for several R packages. The changes mainly involve creating `build.sh` and `bld.bat` files, which are likely related to the build process for conda packages. The consistent use of `R CMD INSTALL --build` and `export DISABLE_AUTOBREW=1` suggests the user is automating the package build process for the R programming language within the conda-forge environment.
placeconda-forgerecipescondasubmit
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