Laly Bar-ilan
Chief Scientist at Bit
Israel
Summary
🤩
Rockstar🎓
Top SchoolLaly Bar-ilan is a Chief Scientist based in Israel with nearly two decades of experience bridging NLP, machine learning and software engineering to build and scale products across startups and established companies. She has held technical and leadership roles from NLP engineer to VP R&D and CTO, and co-founded a company focused on deep text understanding, demonstrating both product and research instincts. At Bit she drives core build-system innovation, contributing to prominent open-source extensions that analyze component graphs and dependency insights. Her background in linguistics and cognitive science informs a practical, research-driven approach to applied ML and developer tooling. Colleagues describe her as a hybrid thinker who switches fluidly between low-level implementation (dependency graphs, extension loading) and high-level product strategy.
9 years of coding experience
13 years of employment as a software developer
MA, Linguistics and Cognitive Science, MA, Linguistics and Cognitive Science at Tel Aviv University
English, French, Hebrew
Github Skills (6)
typescript10
typescripts10
typescript-types10
javascript9
nodejs9
component-based8
Programming languages (1)
Github contributions (5)
teambit/bit
Feb 2020 - Feb 2022
A build system for development of composable software.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 9 commits, 16 PRs in 2 years
Contributions summary:Laly primarily contributed to the `harmony` and `insights` extensions, focusing on the internal workings of the `bit` build system. Their work involved updating dependencies (cleargraph), implementing core functionality for extension loading, and refactoring code related to dependency graphs. The user also added new extensions to support graph-based analysis of components and their dependencies. Further contributions include fixing insight rendering and formatting.
component-drivenmonorepopolyreporeactnode-js
teambit/cleargraph
Jan 2020 - Dec 2020
A library for modeling and traversing graphs
Contributions:115 commits, 3 PRs, 59 pushes in 11 months
agent-based-modelinggraphsgraphmodelingmodeling-tool
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