Software Architect and Engineer specializing in best practices and modern technologies, with a strong passion for agility, product management, innovation, research and development, and LEAN business models. Proficient in Node, .NET Core, Java, Javascript, Typescript, SQL, and Python.

An extensive background in market research has fostered a consistent expertise in data analysis, evident throughout the professional journey. This expertise encompasses sales analysis, campaign performance evaluation, and customer retention strategies within e-commerce and franchising sectors. Engagement in projects spanning goal deployment, e-commerce launches, and process optimization has further refined these skills. Proficiency in creating dashboards and reports through Excel and Power BI facilitates the visualization and monitoring of key performance indicators.

Mobile Developer specializing in the React-Native framework with extensive experience fulfilling both back-end and front-end roles on diverse projects. Demonstrates a strong passion for continuous learning and adapts well to challenges, consistently driving professional growth in the tech industry.

Pursuing a degree in Computer Engineering with an anticipated graduation date of December 2021.

A dedicated Junior Node JS Developer with a strong commitment to continuous learning and professional growth. Focus areas include skill enhancement through rigorous coding practice and active engagement with experienced industry professionals.

Full-stack developer with over five years of experience, demonstrating a proven aptitude for rapid learning. Skilled in developing both static and real-time applications capable of managing traffic volumes of up to 2,500 requests per minute. Possesses substantial expertise in Python, AWS, JavaScript, and Flutter.

A System Analyst with over 15 years of experience in the technology sector, specializing in software architecture, application scalability, and system performance enhancement. Prominently recognized as a professional in DEVOPS, the focus involves integrating development and operations practices to streamline and optimize the software lifecycle. Possesses advanced proficiency in PHP, especially version 8.x, along with extensive expertise in a diverse array of technologies and methodologies.

These include MYSQL, Git, HTML5, CSS3, JavaScript, AWS, Docker, Kubernetes, MongoDB, and Shell Scripting frameworks such as Symfony, Silex, Yii, and Slim. Additional knowledge encompasses Memcached, SalesForce, Jira, Google Analytics, New Relic, Scrum, Kanban, Linux, and C. Prioritizes continuous learning and professional growth, valuing collaboration and mutual respect in the workplace.

A professional with over eight years of market experience, having worked across multiple sectors including real estate, NPS research, health tech, insurance, and air transportation. Experienced in both development and Business Intelligence (BI), with responsibilities that include hiring and leading teams of programmers and UI/UX designers, managing groups of up to 15 members. Currently pursuing studies in Software Engineering, with a focus on agile methodologies such as scrum, kanban, devops, and lean, as well as competencies in people management, digital marketing, and sales strategies.

Google Cloud AI Notebooks is a managed service that provides Jupyter notebooks in the cloud, enabling users to develop and execute machine learning models and data analysis tasks with scalable computing resources.

A Google Cloud AI Notebooks expert must have skills in Python programming, Jupyter notebook usage, machine learning frameworks like TensorFlow and PyTorch, Google Cloud Platform services such as BigQuery and Cloud Storage, and proficiency in managing virtual machines and cloud resources.

How to hire a Google Cloud AI Notebooks expert

Google Cloud AI Notebooks was launched by Google in 2018 to provide a managed environment for data scientists and machine learning practitioners. It aimed to simplify the development and execution of machine learning models by offering scalable computing resources and integration with other Google Cloud services.

About Google Cloud AI Notebooks

Strengths of Google Cloud AI Notebooks include seamless integration with Google Cloud services, scalable computing resources, and ease of use for collaborative machine learning development. Weaknesses include potential cost concerns and dependency on internet connectivity. Competitors include Amazon SageMaker, Microsoft Azure Notebooks, and 

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How to hire a Google Cloud AI Notebooks expert

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