Paulo Fonseca
About Paulo Fonseca
Paulo Fonseca is a Senior Machine Learning Engineer at Sinch, where he leads projects in various machine learning domains, including natural language processing and image classification. He has a strong academic background in computer science and extensive experience in deploying machine learning models for fraud detection.
Work at Sinch
Paulo Fonseca has been employed at Sinch as a Senior Machine Learning Engineer since 2021. In this role, he leads projects across various machine learning domains, including Natural Language Processing (NLP), Image Classification, and Anomaly Detection. He is responsible for designing machine learning architecture to tackle fraud-related issues. Fonseca provides technical leadership within the Anti-Fraud team, utilizing a range of tools such as AWS, Spark, Kafka, PyTorch, TensorFlow, FastAPI, Redis, and Data Pipeline Orchestrators to deploy machine learning models effectively.
Education and Expertise
Paulo Fonseca holds a Bachelor's degree in Computer Science from Universidade Federal do Amazonas, which he completed from 2008 to 2011. He furthered his education at the same institution, earning a Master's degree in Computer Science from 2012 to 2013. Fonseca also obtained a Doctor of Philosophy (PhD) in Computer Science from 2014 to 2019. His academic background has equipped him with extensive expertise in machine learning, particularly in deploying models to production with significant impact across multiple countries.
Background
Before joining Sinch, Paulo Fonseca accumulated diverse experience in the field of software engineering and machine learning. He worked as a Software Engineer at Mais Sistemas Inteligentes from 2014 to 2018, followed by a role as a Senior Software Engineer at FIT - Instituto de Tecnologia for 11 months in 2018 to 2019. He then served as a Machine Learning Specialist at Sidia Instituto de Ciência e Tecnologia from 2019 to 2021. This progression in his career has contributed to his current expertise in machine learning applications.
Achievements
Paulo Fonseca has led multiple projects in various machine learning domains, demonstrating his capability in areas such as NLP, Image Classification, and Anomaly Detection. His role in designing machine learning architecture specifically addresses fraud-related challenges. Fonseca's experience in deploying machine learning models to production has had a measurable impact across different countries, showcasing his contributions to the field of machine learning and anti-fraud initiatives.