Pedro Azevedo
Senior Key Expert In Artificial Intelligence at Siemens
Porto Metropolitan Area Portugal
Summary
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Rockstar🎓
Top SchoolPedro Azevedo is a Senior Key Expert in Artificial Intelligence with eight years of experience applying NLP and data science across enterprise and e-commerce settings. He progressed through hands-on roles at Farfetch and Siemens, where he advanced from NLP Data Scientist to senior AI lead, and concurrently teaches as an assistant professor in Porto. His master's work on FEVER and research in natural language inference, information extraction and question answering underpin a practical focus on production-ready NLP solutions. Pedro combines backend engineering experience—evident in an OpenAI-integrated Twitch chatbot project—to bridge research, API-driven systems and business impact. Colleagues describe him as a continuous learner who keeps pace with cutting-edge AI while delivering robust, scalable models.
8 years of coding experience
5 years of employment as a software developer
Master's degree Engenharia de Computação, Master's degree Engenharia de Computação at Faculdade de Engenharia da Universidade do Porto
Portuguese, English
Github Skills (12)
nodejs10
javascript10
api10
expressjs10
apidoc10
chatgpt9
openai-api9
apim9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (6)
Github contributions (5)
pedrojlazevedo/twitch-chatgpt
Mar 2023 - Aug 2024
ChatGPT Implementation for Twitch Streamers
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 24 PRs, 88 pushes in 1 year 5 months
Contributions summary:Pedro primarily contributed to the back-end logic of an application. They implemented features to retrieve player ranks and match data from an external API, likely related to a game. The user also integrated OpenAI's API to build a chatbot functionality. They worked with Express.js to create API endpoints and handle requests.
chatgpt
DeFacto/DeFactoNLP
Feb 2020 - May 2020
DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.
Contributions:73 commits, 1 PR, 56 pushes in 3 months
nlpnamed-entity-recognitionentity-recognitionfactentity
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