With a background in Chemistry from UnB, and currently completing degrees in Big Data and an MBA in Data Science and Analytics, this professional has been actively engaged in artificial intelligence since 2022. Demonstrating expertise in computer vision, natural language processing, and recommendation systems, experience includes hands-on roles as an AI Developer at Apollo Solutions Dev and Cromai, focusing on developing applications with LLMs, ETL processes for both structured and unstructured data, and model training and deployment using advanced techniques in deep learning and transformers. Proficient in Python development, the candidate has successfully designed custom datasets, improved data acquisition pipelines, and presented project outcomes through effective storytelling methodologies, supplemented by an AWS Cloud Practitioner certification.

An Information Systems student with expertise in full-stack web development, possessing proficiency in Node.js and React.js frameworks. Demonstrates advanced capabilities in JavaScript, HTML, and CSS, alongside solid experience in database management utilizing MySQL and MongoDB. Experienced in creating REST APIs and integrating external APIs, reflecting a strong foundation in both front-end and back-end technologies.

Front End Developer proficient in JavaScript, HTML, CSS, and React, with additional expertise in unit testing utilizing Jest and Enzyme. Demonstrates experience in Agile methodologies, specifically Scrum, and excels in team collaboration. Possesses strong skills in direct client communication, developed through roles in technical support and telecommunications.

Possesses extensive experience in software development and technical support analysis, demonstrating a robust background in creating software solutions and delivering expert technical support.

Software Developer with over eight years of experience, demonstrating expertise in programming, Object-Oriented Programming (OOP), C#, Dot.Net MVC, .Net Core, API.Rest, and SQL Server. Proficient in JavaScript, Angular, Flutter, JQuery, React, DevOps, and Mongo DB. Committed to continuous learning and professional growth through engagement with emerging technologies. Actively pursuing remote work opportunities and open to salary negotiations.

Experienced software engineer specializing in web development, with competencies in JavaScript, back-end technologies, NoSQL databases such as MongoDB and ElasticSearch, as well as front-end frameworks including NodeJS and VueJS. Exhibits proficiency in deploying applications on AWS and managing SQL databases. Demonstrates a strong ability to collaborate within high-performance teams to deliver quality outcomes using agile methodologies. Accumulated over two years of programming experience. Holds a degree in Mechanical Engineering and a master's degree in Energy and Sustainability, with a significant project involving the development of an Artificial Neural Network for microcontroller operation, aimed at replacing traditional mass flow meters with a more sustainable alternative.

Postgraduate in Agile Product Management with certifications as Product Owner and Scrum Master, currently holding the position of Agile Coach. Proficient in steering multifunctional team efforts in product development, consistently achieving substantial value deliveries. Possesses strong expertise in comprehending user experiences and overseeing the full product lifecycle from conception to delivery across various industries, including Fintech, Healthcare, Services, and Logistics/Transport. Dedicated to advancing a career in product development with a focus on excellence in end-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.

Google AI Hub is a platform that provides access to a repository of reusable AI components, such as machine learning models, pipelines, and datasets. It facilitates collaboration and sharing among data scientists and developers, streamlining the process of building and deploying AI solutions.

A Google AI Hub expert must have skills in machine learning model development, proficiency in Python and TensorFlow, experience with Google Cloud services such as BigQuery and Cloud Storage, knowledge of Kubernetes for deployment, and familiarity with data preprocessing and pipeline creation.

How to hire a Google AI Hub expert

Google AI Hub was introduced by Google Cloud in 2019 to provide a centralized repository for AI components. It aimed to enhance collaboration and efficiency among data scientists and developers by offering reusable machine learning models, pipelines, and datasets. The service was part of Google's broader strategy to democratize AI and streamline the development and deployment of AI solutions.

About Google AI Hub

Strengths of Google AI Hub included a vast repository of reusable AI components, seamless integration with Google Cloud services, and enhanced collaboration features. Weaknesses involved limited support for non-Google ecosystems and potential complexity for beginners. Competitors included Microsoft Azure Machine Learning, AWS SageMaker, and IBM Watson Studio.

Google AI Hub

Top 5*

AI Cloud Services

About Google AI Hub

How to hire a Google AI Hub expert

The Best of the Best Optimized for Your Budget