Avishalom Shalit

ML Consultant AI Architect at Tribe AI

Waterloo, Ontario, Canada
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Summary

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Avishalom Shalit is an ML consultant and AI architect with 8+ years leading hands-on data engineering and data science teams across startups and large tech firms, currently based in Waterloo, Ontario. He blends deep academic roots in neural computation (A.B.D) and a BSc in Physics and Computer Science with practical experience building production ML systems, fraud detection, document intelligence, and chatbots. A former Google senior software engineer and multi-role leader (Head of Data/Algorithms at companies like Kik, Carta, and Persado), he excels at turning research-grade ideas into resilient, test-covered backend services. An active open-source contributor to prominent Firebase Admin SDKs (Python, Java, Go), he’s improved auth, token-revocation flows, and environment-driven configs—evidence of attention to security and robustness. Colleagues know him as “Vish,” a multicultural team leader who pairs rigorous algorithmic thinking with pragmatic product delivery.
code8 years of coding experience
job11 years of employment as a software developer
bookPhD studies (A.B.D), neural computation - complex systems, PhD studies (A.B.D), neural computation - complex systems at The Hebrew University of Jerusalem
languagesHebrew, English
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Stackoverflow

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Github Skills (23)

firebase-authentication10
pytest10
back-end-development10
apidoc10
python10
testing10
authentication10
user-authentication10
firebase-realtime-database10
java10
user-management10
javas10
go10
api10
golang10

Programming languages (10)

TypeScriptJavaPLpgSQLMakefileJavaScriptGoHTMLJupyter Notebook

Github contributions (5)

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firebase/firebase-admin-go

Oct 2017 - May 2018

Firebase Admin Go SDK
Role in this project:
userBack-end Developer
Contributions:6 releases, 66 commits, 79 PRs in 6 months
Contributions summary:Avishalom primarily contributed to the development of user management features within the Firebase Admin Go SDK. Their work included adding utilities for managing users, implementing custom claims within the authentication package, and creating the user management Go SDK. They also addressed code-related tasks, such as fixing documentation and links, and made improvements to the HTTP client API. The user was involved in releasing new versions with these added features.
firebase-admingolangadminfirestorefirebase
Firebase Admin Python SDK
Role in this project:
userBack-end Developer
Contributions:6 releases, 50 commits, 28 PRs in 2 months
Contributions summary:Avishalom primarily contributed to the Firebase Admin Python SDK, focusing on enhancements and bug fixes. Their work includes adding functionality for revoking refresh tokens, improving the initialization process by reading configuration from environment variables, and correcting documentation. They also addressed issues related to instance ID management and the handling of invalid inputs, demonstrating a focus on robustness and feature improvements.
firebase-adminpythonadminfirestorefirebase
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Avishalom Shalit - ML Consultant AI Architect at Tribe AI