Technology enthusiast, avid Python programmer and DevOps practitioner. Extensive experience working as a Data Scientist and Machine Learning Engineer, doing everything from ad-hoc statistical analysis to Full Stack Machine Learning applications. Firm advocate for the use of cloud platforms such as AWS and Google Cloud Platform to ensure application security and scalability.

Led technology consulting projects from Design Thinking to Implementation and Monitoring for continuous improvement, using agile development methodologies.

Former neuroscience researcher at COPPE/UFRJ having studied Machine Learning and Deep Learning techniques applied to EEG signals. Hold a masters degree in Biomedical Engineering and an undergraduate degree in Mechatronic Engineering. Always learning through different courses and participating in inspiring communities (Github, Meetups and social networks).

Passionate about high performance, ownership and solving problems with data.

Github: https://github.com/millengustavo