Helping different companies to transform their ideas into reality! (Software and Hardware Engineering). Some projects developed: - Iconosur -- Infrastructure audit: Complete analysis of the infrastructure (security and network) to be in compliance with Turner's audit. - Cambre (Project: Ihaus 2.0): -- OS optimization (GNU/Linux Debian) and Linux kernel customization to the specific defined hardware based on the ARM v7 architecture. - Auto Network Connection system development.

- Helping to build one of the most advanced, resilient, and secure AI platforms applied to the healthcare industry - After working as an MLOps Engineer I transitioned to a more global role where I had the opportunity to define, design, and implement a big part of the platform (Everything as Code), taking different roles in the process. - Infrastructure Architecture: ML (Data and Training), Inference API, Application, Security, and Shared Resources layers (Deployment, Monitoring, among others). - Software Engineering: Inference API and Application (Backend). - DevOps: DataFlows, Workflows, etc. - Security: All layers (in less than a year we obtained the SOC 2 certification). - FinOps: Optimizing processes and resources to reduce costs as much as possible.

As MLOps Engineer I was focused on the definition of the data flows, all the infrastructure architecture specifically for the model training pipeline, and everything related to this, either Data Engineering, ML Engineering, and Inference API definition.

Helping to generate the digital transformation of the company, imparting my knowledge and experiences in all its points.

Design, development and implementation of the cloud infrastructure (multiple customers).

Continuity of the infrastructure development (Initially developed by Binbash company).

# Main technologies: - Infrastructure: (DevOps culture, IaC, CI/CD). - IoT: Software and hardware. - DLT: Blockchain (ethereum), [IOTA and Hashgraph)] -> Tangle (DAG).

Servers administration.

- AWS infrastructure (architecture definition and implementation). - DRP implementation. - Workflow definition.

Design, development and implementation of cloud infrastructure (multiple customers).

In charge of Design, development, and implementation. - Techs: -- Web: HAProxy, HTTP Apache, Nginx, PHP-FPM, mod_wsgi and Tomcat (Netflix code testing purposes). -- Databases (SQL/NoSQL): MySQL, Neo4j and Redis. -- Virtualization (hardware/OS level): VirtualBox, Qemu and Docker. -- Networking monitoring: Nagios and Cacti. - Architecture -- Microservices architecture based on events with RabbitMQ (AMQP). - Researching: -- Video streaming (ffmepg + ffserver): TDA transmission. -- Netflix tools (eureka, archius, hystrix, turbine, zuul, blitz4 and ribbon software). -- SDN (Openflow protocol): Testing with mininet. -- OLAP Cube generation.