Rima
Founder at Begin.ai
Canada
Summary
🤩
RockstarRima Al Shikh is a San Francisco–based technology leader, founder and startup advisor, currently Head of EPD at Perle and CEO of Begin.ai. She has built and scaled product-led engineering organizations—most notably growing Mokus to $1M+ in its first year and operating a 300-strong remote engineering network—while also founding and advising multiple startups. Combining strategic leadership with hands-on delivery, she rebuilt a digital publishing framework that unified 40 products and helped double user acquisition for Arabic Arabian Business. As a core contributor to OpenMined’s PySyft, she has deep backend expertise in privacy-preserving ML, having added secure token exchange and message routing to federated learning workflows. Her rare mix of startup grit, enterprise AI consulting, and open-source security work positions her to pragmatically bring advanced ML into product teams.
8 years of coding experience
Github Skills (13)
secure-computation10
tokenize10
tokenizer10
message-passing10
python10
federated-learning10
cryptography10
sym10
jwt9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (2)
Github contributions (5)
OpenMined/PySyft
Jul 2020 - Jan 2021
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 5 PRs, 1 branch in 6 months
Contributions summary:Rima's contributions center around developing the back-end functionalities of the `pysyft` project. They added features such as token exchange for secure communication and introduced address structures for message routing. Furthermore, the user refactored object ID generation and modified message handling logic by including tokens in various message types. These changes indicate a focus on enhancing the security and communication protocols within the federated learning framework.
pytorchcryptographyacquiringpythonscience
Rima/PySyft
Jul 2020 - Aug 2020
A library for encrypted, privacy preserving machine learning
Contributions:38 pushes, 4 branches in 18 days
pythonprivacy-enhancing-technologiesprivacyprivacy-preserving-machine-learningmachine-learning
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