Antonio Roberto

Machine Learning Researcher at Huawei Ireland Research Center

Dublin, Ireland
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Summary

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Senior
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Top School
Antonio Roberto is an Applied Scientist at Amazon Alexa with 8 years of experience building and deploying deep learning and generative AI solutions for audio and language applications. He holds a PhD in AI applied to social robotics and combines rigorous research experience with hands-on MLOps using AWS SageMaker to move models from prototype to production. His background spans speech recognition, anomaly detection for autonomous networks, and root cause analysis, reflecting a rare mix of conversational AI and networking-focused ML. Antonio has collaborated with international research labs and standards bodies, bringing both academic precision and customer-facing pragmatism to product problems. Known for organized, detail-oriented problem solving, he also has full‑stack and mobile development roots, enabling cross-disciplinary execution. Based in Turin, Italy, he is focused on real-world AI impact and fine-tuning LLMs and agents for scalable voice experiences.
code8 years of coding experience
job2 years of employment as a software developer
bookIISS F. De Sanctis
bookUniversità degli Studi di Salerno
bookFinal Master Thesis, Final Master Thesis at Rijksuniversiteit Groningen
bookBachelor Degree, Bachelor Degree at University Of Salerno
bookUniversity of Salerno
bookEF Executive Language Institute
languagesEnglish, Italian
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Github Skills (44)

bots10
conversational-ai9
voice-assistant9
chatbot9
bot-framework9
nlp8
conversational-agents8
conversational-bots8
spacy8
keras8
natural-language-processing8
rasa8
machine-learning8
nlu8
botkit8

Programming languages (3)

TypeScriptC++Python

Github contributions (5)

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Contributions:32 pushes, 1 branch in 4 years 6 months
MiviaLab/DENet

Jul 2020 - Feb 2021

This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'.
Contributions:5 commits, 5 pushes, 2 branches in 6 months
audiodeep-learningsignal-processingaudio-surveillance
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