Hire the Top 2% of
Remote Google Chromecast Developers
in Brazil

hugo A.

Vetted Google Chromecast developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Klyff H.

Vetted Google Chromecast developer in Brazil (UTC-3)

Hands any time! Like a lot to develop Generative AI solutions (API development experience with ChatGPT/OpenAI, Whisper DL, AssemblyAI, DeepL, Bard, Bing, SageMaker) and own algorithms for computer vision and document classification. Proficient in Java, Python, Node.js, React, Angular, C#, .Net, Golang, and more. Experience in Machine Learning, Computer Vision, Engineering Management, Agile, Team Topology, Accelerate, Scaling Up, Scrum, Kanban, Business Strategy, Business Analysis, Software Design, Software Architecture, High Tech Design, Low Tech Design, Cloud Computing, AWS, GCP, Azure, Oracle Cloud, Software as a Service (SaaS), Bank as a Service (BaaS), PaaS, FaaS, Health systems and Manchester protocol, vast knowledge about Payments, Billing & Settlement, KYC/KYP, NFT, Blockchain, Event Driven, TDD, DDD, CQRS, GraphQL, Rest, Kafka, Pub/Sub, Pandas, TensorFlow, OpenCV, Scikit, Kotlin, Spring (Boot/Cloud/Data/Batch), MongoDB, Cassandra, Redis, DynamoDB, Postgres, MS-SQLServer, MySQL, Oracle, Sybase, Kubernetes, Docker, Rancher, CI/CD, Git, TOGAF, Alfresco, Nuxeo, Camunda, BPM, IBM Case Management, Weblogic, Websphere, JBoss, Quarkus, GraalVM, Microservice, SOLID, Design Patterns, NewRelic, ELK, Splunk, Datadog, Terraform, Robot Framework, OAuth, JKS, SSL, HMZ/DMZ, data encryption, caching, Oracle RDBMS, Jira, Confluence, Git, Miro, Figma, Asana, UiPath Robots, UiPath Orchestrator, OCR, TWAIN and so on

Gustavo L.

Vetted Google Chromecast developer in Brazil (UTC-3)

**Senior Full Stack Software Engineer with over 8 years of professional experience in Software Development.** I have extensive experience in the **JavaScript** ecosystem (**Typescript**, **Node**, **Angular**, **Vue**, **Ionic**), **Golang**, and **Python**, building **scalable** and **high-quality** applications. I have been working in cloud environments, using mostly **AWS**, but also **GCP** and **Azure**, always using **Terraform** to control the infrastructure. I have worked for different companies, ranging from big techs (Uber), big banks with hundreds of thousands of employees (Santander) to small ones, where I developed alone the whole front end of the company’s application. **Leadership experience** is part of my curriculum as well, with experience in **Tech Lead** and **Engineering Manager** positions.

Douglas B.

Vetted Google Chromecast developer in Brazil (UTC-3)

Helping exceptional companies to improve their quality.

Gabriel M.

Vetted Google Chromecast developer in Brazil (UTC-3)

With experience in software development and cloud, I’ve a particular interest in understanding how things work behind the scenes. I'm focused on solving problems. I've experience with Java, Go, and Node, but recently I've been dedicating more time to studying C and OpenMP for parallel programs.

Diefferson S.

Vetted Google Chromecast developer in Brazil (UTC-3)

Software engineer with an emphasis in the area of mobile development. Substantial experience developing and publishing native Android applications using Kotlin, Java, and Flutter. Likes participating in community events, forums, and public libraries."

Lawrence F.

Vetted Google Chromecast developer in Brazil (UTC-3)

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.

Daniel M.

Vetted Google Chromecast developer in Brazil (UTC-3)

I am a Brazilian Data Engineer with 8+ years of hands-on experience designing end-to-end solutions from ETL pipelines, algorithms, databases and architectures that leverage data to empower decision-making in different industries, mixing digital marketing with business data. Driven to solve complex challenges with advanced tools and technologies, enjoying the balance of hands-on work and team coordination to deliver impactful, collaborative solutions. With strong communication skills that bridge technical and business domains, combined with an analytical and collaborative mindset, I’ve had an active role in important projects for industry giants such as Vivo (Telefonica), Samsung, Unilever, Gerdau, Volvo, Hyundai and Reckitt Benckiser. I currently work as Head of Data Engineering at Cadastra, a global digital marketing agency.

Thais M.

Vetted Google Chromecast developer in Brazil (UTC-3)

I am a data analyst with experience with more 10 countries and more than 30 projects. Proficient in PowerBI, Python, SQL, and cloud computing. Skilled in data analysis and dashboard development.

Ewerton S.

Vetted Google Chromecast developer in Brazil (UTC-3)

Hello, I'm Ewerton, a Data Engineer from Brazil with 6 years of experience, starting in 2018. I’ve worked across various sectors, including advertising, marketing, banking, credit cards, and food services. My primary language is Python, and I’m well-versed in libraries like Pandas and NumPy. I'm also skilled in SQL and NoSQL databases, including PostgreSQL, MySQL, BigQuery, Spanner, and Elasticsearch. Much of my work focuses on backend systems and cloud-based data pipelines using frameworks like Flask, and FastAPI, and tools such as Apache Airflow. I have experience with CI/CD on platforms like GitHub Actions, using Bash scripts or YAML templates to ensure safe deployments. I’m proficient in creating dashboards for stakeholders, mainly in Looker Studio, with experience in Power BI for past roles. I hold an MBA in Data Science and have implemented machine learning projects, such as forecasting spending and retrieving similar products from user queries. Ultimately, I excel at solving data challenges, so if you think we could be a match, let’s connect — I’d love to learn about your needs and discuss how I can help.