Front-end developer specializing in creating web and mobile applications utilizing JavaScript, TypeScript, and associated libraries and frameworks such as React, React Native, and Next. Demonstrates proficiency in managing both small and large-scale projects, collaborating with various teams, and leading initiatives focused on enhancing user experience. Committed to continuous professional development and acquiring new technical skills.

Fullstack developer currently in an internship and actively pursuing junior-level or internship opportunities in backend, frontend, or fullstack development.

Front-end Developer with 3.5 years of experience in web and mobile project development, specializing in interactive web solutions using leading market technologies. Expertise in responsive design, SEO, accessibility, and integration with APIs and third-party libraries. Demonstrated proficiency in teamwork and agile methodologies, including Scrum and Kanban. Dedicated to creating attractive, functional interfaces that enhance user experience.

A Full-stack Developer with a primary focus on front-end technologies, particularly Vue.js. Began a programming career as an intern, progressing through determined self-study and substantial practical experience. Demonstrates resilience in overcoming personal challenges and maintains an open-minded approach, actively consulting with supervisors to address obstacles effectively. Exhibits a strong commitment to tackling challenges and excelling in the field while continuously seeking opportunities for professional growth and distinction.

With 23 years of experience in system development and maintenance, the candidate demonstrates expertise in VB6 and Microsoft .NET, utilizing C# and VB.NET languages within Visual Studio. The focus lies on web development through .Net Core, ASP.Net MVC, and WebForms, incorporating CSS, HTML, JavaScript (Ajax, JQuery), Angular, Bootstrap, and Telerik. Proficient in ORM technologies such as Entity Framework, Linq to SQL, NHibernate (including Fluent NHibernate), and Project Castle, the candidate is skilled in Domain-Driven Design (DDD) architecture and in implementing Dependency Injection using Simple Injector and Ninject, with an understanding of Attributes and Reflection.

The candidate also possesses experience in Java EE development, employing tools and frameworks such as Maven and Spring Boot, along with JSF (including Primefaces and Richfaces) and Hibernate, JPA, and EJB. Database management skills cover SQL Server, PostgreSQL, Oracle (PL/SQL), MySQL, and IBM DB2 Advantage Data Server (ADS).

Version control and demand management proficiencies include the use of Visual Studio Team Services, Team System, TFS, Git, SVN, Atlassian JIRA, Movidesk, ClearQuest, and IBM Rational Team Concert (RTC).

Technical documentation capabilities are extensive, encompassing system architecture, business rules, requirement gathering, impact analysis, and use case specifications, with proficiency in UML for the interpretation of use case, class, and sequence diagrams.

User experience design specialist with a focus on leveraging data from design processes and discovery phases to identify optimal solutions. Demonstrates strong expertise in User Interface (UI) design, implementing best usability practices and adhering to Web Content Accessibility Guidelines (WCAG) for user-centric deliverables. Proficient in conducting usability tests, validating hypotheses, and performing interviews and surveys for feature discovery and persona development. Experienced in the creation, maintenance, and documentation of Design Systems.

Software Developer, career initiated in 2019, consistently seeking professional development and challenges. Demonstrates a strong drive for creating innovative solutions and surpassing project expectations. Recognized for prioritizing organization, maintaining focus, fostering teamwork, and exhibiting proactive behavior.

A dedicated software developer with expertise in Elixir, Phoenix framework, ReactJs, NodeJs, and PostgreSQL. Demonstrates a strong propensity for problem-solving and proficiency in employing a variety of modern technologies. Committed to continuous professional growth and open to learning new languages and frameworks that enhance skill sets.

Google Cloud AI Platform is a managed service that enables developers and data scientists to build, deploy, and manage machine learning models at scale. It provides tools for training, tuning, and serving models in a production environment, facilitating end-to-end machine learning workflows.

A Google Cloud AI Platform expert must have skills in machine learning model development, proficiency in TensorFlow, familiarity with cloud computing concepts, experience with Google Cloud services such as BigQuery and Cloud Storage, and knowledge of Python programming.

How to hire a Google Cloud AI Platform expert

Google Cloud AI Platform was launched by Google in 2018 to provide an integrated environment for building, deploying, and managing machine learning models. It aimed to streamline the machine learning workflow, making it easier for developers and data scientists to leverage Google's infrastructure and tools for scalable model training and deployment.

About Google Cloud AI Platform

Strengths of Google Cloud AI Platform include robust scalability, integration with other Google Cloud services, and advanced machine learning tools. Weaknesses include potential complexity for beginners and higher costs compared to some alternatives. Competitors include AWS SageMaker, Microsoft Azure Machine Learning, and IBM Watson.

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About Google Cloud AI Platform

How to hire a Google Cloud AI Platform expert

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