Ricardo C.

Machine Learning/AI Engineer

Software Engineer
7/1/2022 - Present

Developed expertise in audio and video processing, incorporating advanced codecs and transcoding techniques. Gained proficiency in handling and manipulating rich metadata to enhance media content quality and accessibility. Mastered process automation tools and frameworks, implementing efficient workflows to streamline content production. Extensive experience with a range of software and media technologies including FFmpeg, Adobe Premiere Pro, Final Cut Pro, and various metadata standards like ID3, XMP, and EXIF. Demonstrated skills in scripting languages such as Python and Bash to automate repetitive tasks and improve operational efficiency. Utilized content management systems for effective media distribution and archiving. Proven ability to maintain high-quality standards in media processing and ensure seamless integration with broadcast and digital platforms.

Machine Learning Software Engineer
1/1/2021 - 4/1/2022

Collaborated with a multidisciplinary team of data scientists, data engineers, and software engineers to design and implement optimization pipelines aimed at enhancing profit and managing soy crushing plants. Developed strong expertise in Python and R for data analysis and modeling. Utilized machine learning frameworks such as TensorFlow and scikit-learn to create predictive models. Employed SQL and NoSQL databases for efficient data storage and retrieval. Implemented DevOps practices using Docker and Kubernetes to ensure seamless deployment and scalability of pipelines. Enhanced data visualization and reporting through tools like Tableau and Power BI. Assured code quality and collaborative development using Git and performed continuous integration and deployment (CI/CD) using Jenkins.

Machine learning at Federal University of Maranhão
2020 - 2024

Data Modeling at Federal University of Maranhão
2017 - 2019