Justina Petraitytė
Developer Relations Engineer
Portugal
Summary
🤩
Rockstar🎓
Top SchoolJustina Petraitytė is a Developer Relations Engineer with 11 years of cross-disciplinary experience building developer communities, technical education, and production ML systems across AI and web3. She has led and scaled DevRel teams at Rasa—creating widely viewed conversational AI courses and bootstrapping community growth—and has shipped tutorials, docs, and live workshops that turned complex ML concepts into practical developer workflows. At 3Box Labs she built onboarding, demos, and adoption strategies for Ceramic, and as a freelancer helps open-source teams integrate LLMs and optimize processes with AI. Her engineering background includes production conversational assistants, recommendation systems, and Slack-integrated bots (shown in her Weatherbot tutorial), giving her a rare mix of hands-on backend development and developer-facing storytelling. Now based in Portugal and working with Lava Network, she focuses on making cutting-edge AI and web3 tools accessible to developers while driving measurable product adoption.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree Econometrics, Bachelor's degree Econometrics at Vilniaus universitetas / Vilnius University
Lithuanian, English
Github Skills (18)
slack-api10
python10
flask-ask10
rasa10
nlp10
flask10
chatbot10
documentation10
dialog9
apim9
natural-language-processing9
conversational-ai9
api9
dialogs9
dialogflow9
Programming languages (9)
Github contributions (5)
JustinaPetr/Weatherbot_Tutorial
Feb 2018 - Apr 2020
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 commits, 3 PRs, 30 pushes in 2 years 2 months
Contributions summary:Justina primarily contributed to the development of a weather chatbot, focusing on the backend logic and integrations. They implemented a Slack integration using Python, Flask, and the Slack API, enabling the bot to interact with users on the Slack platform. The contributions involved setting up the core components of the bot, including dialogue management and NLU training, and integrating with external APIs.
RasaHQ/rasa
Aug 2018 - Sep 2020
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:Technical Writer & Community Contributor
Technical Writer & Community ContributorContributions:2 reviews, 84 commits, 26 PRs in 2 years 1 month
Contributions summary:Justina primarily contributed to the project by updating documentation, FAQs, and support channels. They added content on topics like Rasa Community Forum, installation, and language support. Furthermore, the user added links to a starter pack for building custom assistants with Rasa Stack, promoting community engagement and making the project more accessible to new users. They also updated links and content within the documentation.
nlupythonbotspeech-recognitionbotkit
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