Showing posts with label save time. Show all posts
Showing posts with label save time. Show all posts
Are you tired of circling the block, searching for parking spots, and risking tickets in Montreal? Especially if you're a visitor, under...
I am Ronaldo Andrade, a professional IT with over years of experience in web development and AI engineering. I have successfully delivered various web development and AI projects using a wide range of technologies, such as .NET, Python, R, SQL, JavaScript, HTML, CSS, TensorFlow, Keras, SciPy, FastAPI, Django, Flask, LINQ, Jquery, Angular, Kubernetes, Docker, SCRUM, AWS Cloud, Microsoft Azure, Google Cloud, PostgreSQL/PostGIS, SQL Server, Oracle, MySQL, NoSQL, Jenkins, Git, Gitlab, GitHub, and Azure Pipelines.
Founded Leaftix, a SaaS AI food production technology company. Developed data-driven solutions for agriculture and agri-food industries. Utilized technologies such as Docker, Kubernetes, Pipelines, Microsoft Azure, and Python.
Built, deployed, and maintained machine learning pipelines using Azure DevOps and AWS ecosystem. Leveraged technologies such as AWS Sagemaker, AWS EC2, AWS RDS, AWS CloudFormation, AWS Cost Explorer, and AWS CloudWatch.
Developed and maintained solutions for VR flight simulators. Utilized technologies such as Microsoft Azure Pipelines, Python, Kubernetes, and Docker.
Developed and maintained a web-based CRM system using Python, Flask, PostgreSQL, and AWS. Utilized technologies such as GIT, Bitbucket, Jenkins, Black/Pylint, and Celery/Flower.
Led DevOps initiatives and adopted modern cloud computing standards. Utilized technologies such as microservices with .NET Core C#, Kubernetes, Docker, GitLab, PostgreSQL, Kong Api Getaway, and Kuma Mesh.
Provided support for cybersecurity related to IBM Lotus applications. Implemented security measures such as encryption, authentication, authorization, and auditing.
Supported and created new features for internal systems. Utilized technologies such as ASP.NET 5, C#, VB.NET, SQL Server, and Microsoft TFS.
Developed data classification algorithms using Python, SciPy, and NumPy to estimate agricultural production. Utilized satellite imagery from Landsat 8 and Sentinel 2.
Developed a web-based fire monitoring system for Brazilian forests. Utilized satellite imagery from Landsat 8 and technologies such as Python, Django, PostgreSQL, Pandas, NumPy, Ipython Notebook, R, RStudio, GeoServer, and MapServer.