• Spearheaded OTA (Over-the-Air) updates for IoT devices, ensuring seamless and secure firmware upgrades.• Specialized in AWS, leveraging cloud services to optimize device performance and scalability.• Played a key role in developing cloud-agnostic strategies, ensuring flexibility and compatibility across diverse cloud platforms.• Demonstrated expertise in leveraging AWS services for efficient data management, storage, and analysis in IoT applications.• Actively engaged in technology innovation, staying abreast of the latest advancements in IoT and cloud computing.• Collaborated with cross-functional teams to design and implement secure, reliable, and scalable IoT solutions.• Participating / owning end to end installation, development, delivery, operations, prioritization, and backlog of HashiCorp Vault.• Connect tools to track CVE, analyze code for security vulnerabilities, and limit third-party vulnerabilities.• Serve as key leader and expert on DevOps practices.• Lead the design and development of technical solutions for frontend applications, IoT Applications monitoring solutions and ML solutions.• Visualizing data for deeper insights.• Designing, developing, and researching Machine Learning systems, models, and schemas.

• Develop and coordinate cloud architecture of IoT applications for predictive quality, maintenance, and remote operation.• Implementation of Secure IoT device connections and data with mutual authentication and end-to-end encryption, using different provisioning/deprovisioning methods in AWS and Azure.• Streaming large amounts of data to the cloud for further analysis and visualization in real-time and batch processing.• Design, build & maintain large scale high performing, streaming application platform infrastructure on AWS.

• Supported a national (South America) tax authority to define their initial steps towards deploying a Data Governance Office (organizational structure, data domain definition and other key concepts).• Involved in the design and development Azure Data Factory ETL solutions for data integration and processing. • Customer Segmentation at Centro America Bank with Machine Learning models.• Recommendation and implementation of various Cloud Architectures for data migration, analytics & Big Data and ML to the cloud

• Conducted extensive research on revenue management and pricing analytics in the eCommerce sector in the cloud• Applied various machine learning techniques to build dynamic pricing models and maximize profits• Responsible for loading unstructured and semi-structured data into a Data Lake solution. Implementation considered the configuration of jobs in AWS GLUE for data processing data using Spark.• Developed data transformation routines (ETL) to load data into MySQL. Associated efforts included data preparation for machine learning exploitation.• Designed and implemented data pipelines using Kafka and Kinesis. External systems (social networks and websites) generated real-time data that was sent to Splunk and a data warehouse solution for future processing. Target systems included S3, MySQL and BigQuery• Designed and built a data pipeline using Delta Lake and Azure Databricks that aimed to optimize an existing process (efficiency objective)

*Reseller IT products* Suggesting and recommending IT products depends of customers needs for provide a good balance of power, performance and cost.* Deployed multiple front end web application frameworks to lead the design, execution & enhancement of the UI* Led a team of 5 developers to spearhead development of web applications* Developed web applications leveraging Django and node.js* Developed dashboards to monitor sales conversions (marketing funnel) using Docker and Kubernetes.

Provides technical assistance and training to studentsInstruct students within the standard to ensure a complete solution to their support questions. Handled Cisco routers and switches.Managed networking, hardware and software support.Install and configures network system based on Cisco Network courses