Chief Artificial Intelligence Officer (CAIO) at PopAI Agency
Bahia, Brazil
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Summary
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Rockstar
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Top School
Alexandre Teles is a seasoned AI leader and founder with 13 years of experience applying machine learning and data engineering to real-world problems across industry, research, and public health. As Chief Artificial Intelligence Officer at PopAI Agency and founder of Raze Systems, he blends strategic AI vision with hands-on delivery—building teams, defining governance for responsible AI, and deploying LLMs and RAG pipelines into production. His background at Brazil’s National Institute of Science and Technology in Digital Democracy and academic work on political communication give him uncommon expertise in social-media research, misinformation analysis, and digital methods. A pragmatic full‑stack contributor, he has also improved the popular Bludit CMS with SVG and image-handling fixes, showing attention to front-end UX and back-end file processing. Based in Bahia, he pairs technical depth in ML and infrastructure with a knack for translating research into partnerships and measurable social impact.
13 years of coding experience
2 years of employment as a software developer
Master of Business Administration - MBA, Business Intelligence with Data Analysis and Big Data, Master of Business Administration - MBA, Business Intelligence with Data Analysis and Big Data at Universidade Cruzeiro do Sul
Bachelor, Interdisciplinary Science, Bachelor, Interdisciplinary Science at UFBA - Federal University of Bahia
Contributions:5 commits, 4 PRs, 17 comments in 2 days
Contributions summary:Alexandre contributed to the Bludit CMS by implementing features and fixing bugs related to content presentation and image handling. They focused on allowing SVG uploads, creating SVG thumbnails, and addressing responsive image issues for the 'log' theme. Their work also included enhancing the about section by decoding HTML entities. These contributions demonstrate a focus on front-end development and back-end file handling within the context of a flat-file CMS.
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