Keven Carneiro is a data scientist with 9 years of experience who blends applied NLP research and production engineering to build AI-powered writing assistants at Instituto Atlântico. He prototypes Transformer-based QA and paraphrase-detection models using Python, NLTK, spaCy and BERT, then takes end-to-end ownership—deploying and optimizing them on Kubernetes with Redis caching to cut latency and resource use. His background as a full-stack developer and DevOps engineer (C#, .NET, Vue.js, AWS CI/CD) enables pragmatic model-to-product delivery and legacy modernization. Keven is pursuing an MS in Computer Science focused on AI and contributes to open-source tooling, reflecting a sustained interest in explainable, semi-supervised and neural approaches to NLP. An unusual strength is his ability to monitor and right-size model infrastructure in production, balancing research accuracy with operational cost.
9 years of coding experience
6 years of employment as a software developer
Computer Technician with emphasis in Software Development, Tecnologia da Informação, Computer Technician with emphasis in Software Development, Tecnologia da Informação at Mario Alecar Professional School
Specialization, Natural Language Processing, Specialization, Natural Language Processing at Coursera
Nanodegree, Natural Language Processing, Nanodegree, Natural Language Processing at Udacity
Technology in Telematics, Tecnologia em Telecomunicações, Technology in Telematics, Tecnologia em Telecomunicações at Federal Institute of Ceará
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Instituto Federal de Educação, Ciência e Tecnologia do Ceará
Bachelor of Technology - BTech, Computer Systems Analysis, Bachelor of Technology - BTech, Computer Systems Analysis at Universidade de Fortaleza
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