Gabriele Palozzi
Software Engineer at Trulience
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGabriele Palozzi is a software engineer with 10 years’ experience building product-focused systems and shipping production ML-driven features from London. Currently a product architect in the Research & Innovation team at an award-winning fintech, he has led projects from a React Native mobile app to an in-house investment system handling recurrent multi-million transactions, and built voice experiences for Alexa and Google Home. Skilled in Python, JavaScript/TypeScript, Node.js and deep learning frameworks (TensorFlow, PyTorch, Keras), he combines hands-on engineering with product vision to boost user engagement—recent work includes an avatar generated from real human data. An active contributor to voice/chat open-source tooling (improving the popular Jovo framework’s Dialogflow support), Gabriele pairs practical QA and automation roots with advanced ML training from Udacity. He brings a pragmatic, user-centered approach to turning cutting-edge research into reliable customer-facing features.
10 years of coding experience
9 years of employment as a software developer
Deep Learning Nanodegree, Artificial Intelligence, Deep Learning Nanodegree, Artificial Intelligence at UdacityBachelor’s Degree, Computer Science, First Class Honours, Bachelor’s Degree, Computer Science, First Class Honours at Sapienza Università di Roma
English, Italian
Github Skills (11)
dialogflow10
alex10
bots10
javascript10
lex10
chatbot10
testing9
typescripts8
google-sheets8
typescript8
typescript-types8
Programming languages (4)
Github contributions (5)
jovotech/jovo-framework
Jul 2019 - Feb 2020
🔈 The React for Voice and Chat: Build Apps for Alexa, Messenger, Instagram, the Web, and more
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 commits, 5 PRs, 3 comments in 7 months
Contributions summary:Gabriele primarily focused on enhancing the Jovo framework for voice and chat applications. Their contributions include fixing bugs related to validators and session management within the Dialogflow platform. They also implemented new features, such as adding new "Ask" contexts to Dialogflow agents to improve session identification and adding samples for request testing. These changes demonstrate a strong understanding of the platform's architecture and practical application.
jovo-frameworkalexamessengerinstagramamazon-alexa
gpalozzi/jovo-framework
Jul 2019 - May 2020
🔈 Build cross-platform Voice Apps for Amazon Alexa and Google Assistant
Contributions:2 PRs, 13 pushes, 3 branches in 10 months
alexa-skills-kitvoice-controlassistantamazongoogle-home
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