Nathan Zylbersztejn
Director Of AI ML Engineering at Swoop
Montreal, Quebec, France
Summary
🤩
RockstarNathan Zylbersztejn is a product-oriented software leader and founder with a decade of experience building conversational AI, currently serving as Director of AI/ML Engineering in Montreal. He founded and sold Botfront, an enterprise-grade GUI platform for Rasa teams, and has been a long-time contributor to core Rasa projects—shaping NLU, converters, and real-time webchat integrations. As a consultant at Rasa he designed "flows," the LLM-native dialogue primitive that enabled their low-code dialogue builder and shifted the product from developer-first to multidisciplinary use. Nathan blends full-stack engineering (React/JavaScript and backend APIs) with product strategy, deployment, and developer experience work across open-source and commercial products. He has led teams through acquisition integrations and enterprise deployments in telco, banking, and healthcare, and often bridges research, product, and developer workflows. A former organizer of Quebec’s Chatbots MTL, he combines technical depth with community-building and practical product instincts.
10 years of coding experience
10 years of employment as a software developer
English, French, Italian
Stackoverflow
13,304reputation
1.4mreached
138answers
130questions
android
top-5%
android-viewpager
top-5%
google-maps
top-5%
Github Skills (49)
socket-io10
apim10
javascript10
python10
machine-learning10
nlu10
websocket10
redux10
socket10
api10
rasa10
front-end-development10
chat-application10
react10
chatbot10
Programming languages (13)
Github contributions (5)
botfront/botfront
May 2019 - May 2021
Enterprise-grade open source GUI platform for Rasa teams
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 15 reviews, 604 commits in 2 years
Contributions summary:Nathan contributed to the enterprise-grade GUI platform for Rasa teams, focusing on both the backend and frontend aspects of the project. Their work included merging branches, addressing conflicts, implementing features, and resolving bugs across multiple files. The user demonstrated proficiency in JavaScript and React by modifying user interface components. They also worked on backend components by modifying the API, API methods, and various code differences in the codebase.
bot-frameworkwatsonpythonrasanlu
botfront/rasa-webchat
Apr 2018 - Aug 2020
A feature-rich chat widget for Rasa and Botfront
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:6 releases, 80 commits, 20 PRs in 2 years 4 months
Contributions summary:Nathan implemented socket integration for the chat widget, enabling real-time communication. They added features for displaying snippets, images, and videos. The user also worked on integrating quick replies and the Facebook API conformity, enhancing the user interface and functionality of the web chat application. Additionally, they configured the development environment for the web chat, and the deployment pipelines.
widgetchatbotsrasachat-applicationfeature-rich
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