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.

• Create Big Data infrastructure.
• Develop Algorithms to analyze and manage contract loss through data, mastered to improve by about 60%.

• Create Machine Learning architecture for Security Systems.
• Develop end-to-end software apps.
• Develop an AutoML structure to find the best model for the dataset.

• Design Software Architecture for Computer Vision Systems applied to Intelligent Transportation Systems.
• Create Python libraries for vehicle tracking using Computer Vision.
• Create and optimize Deep Learning net for character recognition and plate detection.
• Deploy system on embedded systems with x86 processors running on UNIX.

• Write technical documentation in English and Portuguese.
• Create algorithms in C for Human Pose Estimation using Computer Vision.
• Create HDR algorithms for Android cellphones screens.
• Create algorithms in Python for quality control in the factory line.
• Develop a test plan to validate algorithms.

• 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.