Erick Muriungi
Real Estate Private Equity Intern
City of Ithaca, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolErick Muriungi is a Cornell Information Science student and rising senior with seven years of varied experience across research, nonprofit leadership, and real estate private equity training. Currently interning in real estate private equity while undertaking multifamily deal underwriting, he combines quantitative diligence with a background in systematic literature review on informal food systems and conservation science. A pragmatic researcher and coder, Erick contributes to open-source ML tooling—working on NumPy and JAX frontends in the Ivy project—reflecting a genuine appetite for machine learning beyond coursework. He has also managed finances and grant-funded programs as a board treasurer and led mental health interventions in Kenyan schools, showing operational leadership across contexts. Based in Ithaca, he brings cross-disciplinary problem solving, from data-driven ecological recommendations to pitching PE deals, and a knack for translating technical analysis into actionable recommendations.
7 years of coding experience
Kenya Certificate of Secondary Education, Kenya Certificate of Secondary Education at Kagumo HighschoolBachelor's degree, Global Development, sophomore, Bachelor's degree, Global Development, sophomore at Cornell University
Github Skills (12)
ivy10
machine-learning10
jax10
python10
numpy10
testing9
pytorch8
tensorflow8
transpiler7
converter7
transcode7
deep-learning7
Programming languages (3)
Github contributions (5)
unifyai/ivy
Sep 2022 - Jul 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:22 reviews, 92 PRs, 4 pushes in 9 months
Contributions summary:Erick primarily contributed to the implementation and testing of machine learning functionalities within the Ivy framework. Their commits focused on defining and testing the `isnat` function for the NumPy frontend, as well as porting various functions to the Jax frontend, including `nanstd`, `nanvar`, and functions related to searching, sorting, and random number generation. The user also added support for several numpy functions to the numpy and jax frontends.
machine-learningpythontensorflowpytorchnumpy
ndurumo254/ivy
Mar 2023 - Jun 2023
The Unified Machine Learning Framework
Contributions:38 pushes, 8 branches in 3 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.