Edson C.

Diverse projects in ML, Deep Learning, Computer Vision, Data Engineering, MLOps over the course of the last years.

• Setup Snowflake and AWS S3 to create a datalake.
• Create ETL for data ingestion using Python, AWS Glue and SQL.
• Work close with Data Analyst and Business Analyst.
• Create Data Quality process reducing the data analysis work by 20%.
• Configure CI/CD pipelines with Docker, Jenkins.
• Mastered technologies and framework as Python, Airflow, AWS S3, AWS Glue, Jenkins.

• Oprettelse af en Big Data-infrastruktur.
• Udvikling algoritmer til analyse og forvaltning af kontrakttab gennem data med forbedring på ca. 60 %.

• Udvikling af Machine Learning architecture til Security Systems.
• Udvikling af en end-to-end-softwareapplikationer.
• Udvikling af en AutoML-struktur til at finde den bedste model til datasættet.

• Design af en softwarearkitektur til Computer Vision Systems Intelligent avendt på Transportation Systems.
• Oprettelse af Python-libraries til sporing af køretøjer ved hjælp af Computer Vision.
• Oprettelse og optimering af Deep Learning-net til tegngenkendelse og registrering af nummerplader.
• Implementering af systemet på indlejrede systemer med x86-processorer, der kører på UNIX.

• Skrive teknisk dokumentation på engelsk og portugisisk.
• Oprettelse af algoritmer i C til Human Pose Estimation ved hjælp af Computer Vision.
• Oprettelse af HDR-algoritmer til Android-mobiltelefoners skærm.
• Oprettelse af algoritmer i Python til kvalitetskontrol af en fabrikslinje.
• Udarbejdelse af en testplan til validering af algoritmer.

• Development of algorithms for Optical Character Recognition.
• Development of Linux interface to manage image acquisition.
• Development of algorithms in C/C++ for embedded systems to run on ARM processor.
• Development of the integration between C++ code and Java Android application using JNI and NDK.
• Development of the navigation of a mobile robot using mobile devices and using gesture recognition through Computational Intelligence and Digital Image Processing.
• Development of the project in image processing area using C/C++ language with emphasis on Computational Intelligence in order to recognize license plates.
• Modeling, design, and development of an autonomous submersible vehicle with a program based on Digital Image Processing capable of collecting data on ecosystem characteristics of reservoir lakes in the UEHs and performing visual inspection of the dam.
• Technical documentation in English and Portuguese.