Back-end Developer with over seven years of experience in web development, specializing in high-traffic data applications with an emphasis on maintaining performance. Responsibilities have included leading a development team of five developers for more than a year, overseeing the integration of new projects.

Data Engineer specializing in the construction and maintenance of data processing architectures utilizing cloud services. Proficient in developing data ingestion and processing algorithms with Python and PySpark, and skilled in the design and modeling of Data Lakes and Data Warehouses to facilitate data storage and analysis.

Graduated in Computer Science from Universidade Federal do Maranhão in 2011, subsequently earning a Master's in Computer Science from the same institution in 2016. Currently pursuing an MBA in IT Management at the Instituto de Gestão e Tecnologia da Informação, with an anticipated completion date of 2018. Presently holds the position of Deputy Secretary of Information Technology and also serves as a Master Lecturer. Professional experience encompasses roles such as IT Systems Analyst, Java developer, and positions in IT Management and Project Management.

Full-stack developer with 14 years of experience specializing in web systems development. Recently, expertise has been directed towards front-end technologies and UI/UX design to enhance user interface simplicity and usability. Professional background encompasses work in sales management, financial systems, security protocols, websites, and e-commerce platforms.

Commenced a professional career as an intern during the pursuit of a degree in Technology in Systems Analysis and Development. Initial responsibilities included maintaining and customizing an ERP system tailored for the furniture industry, as well as creating and managing reports. Following graduation, transitioned to the role of Junior Developer, where tasks involved migrating a trademark and patent management system from a desktop to a web version. Subsequently worked with clients across different sectors on the development and maintenance of web platforms. Experience includes working as a consultant handling development-related tasks for an ERP platform, contributing as a developer at a leading digital pharmacy startup where responsibilities encompassed developing technology solutions in pricing reports and technical sales analysis charts.

Advanced to a developer role for an education platform, later promoted to Technical Coordinator with duties encompassing the management of development tasks, client infrastructure, and environment migration. Clientele included notable companies in various industries. Currently responsible for overseeing the development and maintenance of ERP system interfaces that support municipalities and city councils, serving over 50 municipalities in the São Paulo and ABC Paulista regions.

A Production Engineer with a degree from Universidade Veiga de Almeida and additional qualifications in Data Science from the Data Science Academy, possesses a focused expertise in the field. Extensive experience in sports content production, specifically American football, began in 2016 and culminated in the launch of a personal project in 2021, which honed communication, creativity, planning, and critical analysis skills. With four years of Technology industry experience, project involvement has included Speech to Text (Azure), Data Engineering using Azure Data Lake Gen2 and Data Factory, and maintenance of Virtual Analyzers for a petrochemical client, encompassing comprehensive Data Science project activities. Further experience includes an Associate Product Manager role with a data focus in the Logistics sector. Currently undergoing Machine Learning Engineer training at the Data Science Academy, with an anticipated completion date of April 2024, actively seeking a position as a Data Scientist.

A full-stack developer with expertise in React, React Native, JavaScript, TypeScript, Node, and Python. Currently employed, this individual is seeking new professional challenges.

Front-end Developer with more than three years of professional experience in web development, specializing in .NET Core/WebAPI C# for web systems and Angular for Single Page Applications (SPA). Proficient in constructing Google Chrome Extensions and Desktop Applications using Electron in combination with Angular. Demonstrates a strong interest in application maintainability, adherence to best development practices, and the principles of Test-Driven Development (TDD).

AWS Elastic Inference allows you to attach low-cost GPU-powered inference acceleration to Amazon EC2 and SageMaker instances, enabling efficient deep learning model inference by scaling GPU resources according to your needs.

An AWS Elastic Inference expert must have skills in deep learning frameworks like TensorFlow and Apache MXNet, proficiency with Amazon EC2 and SageMaker, experience in GPU optimization, and knowledge of AWS management tools like CloudFormation and IAM for resource management and security.

How to hire a AWS Elastic Inference expert

AWS Elastic Inference was introduced by Amazon Web Services in 2018 to provide cost-effective GPU-powered inference acceleration for deep learning models. It was designed to help users efficiently scale their GPU resources based on their specific inference needs without the high costs associated with dedicated GPU instances.

About AWS Elastic Inference

Strengths of AWS Elastic Inference include cost efficiency, flexibility in scaling GPU resources, and easy integration with EC2 and SageMaker. Weaknesses include potential complexity in setup and limitations in supported frameworks. Competitors include Google Cloud TPU, Azure Machine Learning, and NVIDIA Triton Inference Server.

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