Machine Learning Engineer & Data Scientist

Responsible for engineering the team's data science solutions (testing, automated processes, deployment and monitoring)

Productization of codes developed by data scientists, being responsible for ensuring the correct functioning of the model in a productive environment

Creation of APIs in Golang to consume the models developed by the team

Planning the engineering infrastructure of the projects.

Responsible for maintenance and improvements in the process of implementing machine learning solutions within the company

Creating libraries and SDKs to be used by both the data science team and the data engineering team

Worked in improving the use of tools, primarily using the solutions provided by the Google Cloud Platform for scaling projects involving machine learning models and large-scale data usage

Helping develop, deploy, and maintain these models in production.

Hired as the company's first Data Scientist, responsible for structuring data science solutions and starting activities involving the area within the company, aligning project expectations with customers and technical validation of solutions

As the only data professional on the team, was responsible for developing the entire pipeline of solutions, from ideation, data collection, exploratory analysis, database structuring, modeling, deployment, monitoring, and model consumption

Responsible for structuring data science solutions and starting activities involving the area within the company

Development of projects focused on natural language processing, working with problems of multi-label classification, extraction, transformation, and exploratory analysis of data, named entity recognition, requirements gathering, and ideation of solutions

Development and research in Computer Vision projects using object detection, pose detection, template matching, and segmentation of regions of interest.