Reuben Cummings
Peoria, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolReuben Cummings is a founder and data-focused software engineer with 15 years of experience helping organizations turn messy data into actionable insights and measurable business outcomes. As President of Nerevu Group he builds real-time dashboards, data pipelines, and secure integrations that reduce churn, cut operating costs, and improve customer engagement. He combines hands-on ML and backend work—contributing to projects like the ALCF Concept-to-Clinic challenge and a Python stream-processing engine—with practical product and business experience from startups and consulting. An MIT chemical engineering alumnus, Reuben blends analytical rigor with entrepreneurial instincts developed across roles from IT management to humanitarian data work at the UN. He’s known for simplifying complex systems—removing dependencies, refactoring pipelines, and adding memoization to boost performance—so teams can act on what their data is really saying.
15 years of coding experience
10 years of employment as a software developer
Bachelor of Science - S.B., Chemical Engineering, Bachelor of Science - S.B., Chemical Engineering at Massachusetts Institute of TechnologyHigh School Diploma, High School Diploma at Manual Academy
English, Swahili
Stackoverflow
5,225reputation
6.8mreached
79answers
3questions
flask
top-5%
multiprocessing
top-5%
python
top-5%
sqlite
top-5%
parsing
top-5%
sqlalchemy
top-5%
Github Skills (27)
code-optimization10
python10
testing10
machine-learning10
data-preprocessing10
deep-learning10
dicom10
boto9
pytorch9
sqlite9
sqlalchemy9
querystring9
parsing9
flask9
refactoring9
Programming languages (19)
Github contributions (5)
nerevu/riko
Jan 2015 - Dec 2021
A Python stream processing engine modeled after Yahoo! Pipes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:674 commits, 24 PRs, 292 pushes in 7 years
Contributions summary:Reuben primarily focused on removing dependencies and refactoring the code base by removing the memcache requirement. Additionally, the user added memoizations within a utility file, suggesting a focus on optimizing performance. Further, the user fixed spacing issues within test files indicating a commitment to code quality.
stream-processingpythonpipesstreaming-datayahoo-pipes
drivendataorg/concept-to-clinic
Aug 2017 - Feb 2018
ALCF Concept to Clinic Challenge
Role in this project:ML Engineer
ML EngineerContributions:39 commits, 46 PRs, 68 pushes in 5 months
Contributions summary:Reuben primarily contributed to the development and maintenance of machine learning models within the project. Their work involved refactoring code, adding documentation, fixing import errors, and reformatting code styles. Key contributions included modifications to model files, changes to preprocessing steps, and updates to testing frameworks, indicating a focus on refining the machine learning pipeline and improving prediction accuracy. The user also addressed errors related to file handling and prediction messaging.
clinic
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