Summary
Mácio Arruda is a seasoned Data Science and AI leader with over a decade in technology and eight years focused on applied machine learning and cloud-native architectures. As Tech Data Science Manager at CESAR he leads cross-functional teams delivering production ML solutions—fraud detection, time-series forecasting, NLP and real-time ML on Kubernetes—for national and multinational clients. He combines hands-on engineering (Python, TensorFlow, Spark, Kafka) with pre-sales, stakeholder communication and technical hiring, ensuring solutions are both scalable and business-aligned. He also designs and coordinates practical AI education as coordinator of the “IA para Devs” course, translating cutting-edge generative AI trends into developer-centric curricula. Certified in Machine Learning (ColumbiaX) and SAFe Scrum Master, he blends rigorous academic grounding in AI and software engineering with pragmatic big-data and cloud experience across AWS, Azure and GCP. Notably, his career moves from web and mobile development into leading enterprise ML programs illustrate a rare mix of product delivery, teaching and deep technical ownership.
8 years of coding experience
11 years of employment as a software developer
Graduate studie, Artificial intelligence and Data Science, Graduate studie, Artificial intelligence and Data Science at Unibratec
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Faculdade de Tecnologia e Ciências de Pernambuco - FATEC PE
Graduate studie, Software Engineering, Graduate studie, Software Engineering at Estácio de Sá
English