- Contributed to the development of a Django + React application managing the security area budgets, enhancing financial data handling and reporting with PostgreSQL for robust database management.- Streamlined deployment and scalability by containerizing the application with Docker and deploying it on AWS ECS while logging and monitoring using AWS CloudWatch, providing detailed insights into application performance and operational health.- Utilized AWS RDS to manage PostgreSQL databases, ensuring high availability and automated backups.- Authored detailed documentation to support ongoing maintenance and features planning, but also to promote cross-team collaboration.

- As part of the automation team, developed and maintained a cutting-edge SaaS system, using Python + React + AWS that streamlined onboarding and offboarding processes, reducing manual effort and improving process reliability.- Led initiatives for new teams, facilitating their rapid integration into company services. Enabled teams to quickly become self-sufficient and productive, resulting in faster onboarding and improved documentation standards plus good practices implementation.- Designed and optimized PostgreSQL databases, solving data redundancy issues and improving query performance, ensuring efficient and reliable data management.- Implemented serverless message queuing systems between microservices using AWS SNS and SQS.- Contributed a core microservice migration from Ruby on Rails to new services built with Python and TypeScript, under serverless framework, focusing on workflow state management. This migration improved maintainability, made it easier to introduce features in parallel across teams, and enhanced system reliability through a new design of retry policies.

Software Developer (Machine Learning) in Cold Rolling Area.Development and implementation of Machine Learning defect detector over coil surface in the Picking Line. Detection and analysis of anomalies over the steel coil surface coming from the cold rolling lines.- Python, Tensorflow, Flask- Machine Learning- Docker

Software Developer (Machine Learning) in Hot Rolling Line.Development and implementation of Machine Learning steel slab ID detector for preventing incorrect entry into the Reheat Furnace Line.Development of retraining interface for continuous improvement of Machine Learning models.- Python, Tensorflow, Flask- Machine Learning- Docker

Software Developer (Machine Learning) in Electrolytic Tin Plating and Side Cut Scissors lines.Development and implementation of Machine Learning defect detection system: Detection and analysis of anomalies over the steel coil surface coming from the cold rolling lines.Development of retraining interface for continuous enhancement of Machine Learning models.- Python, Tensorflow, Flask- Machine Learning- Docker- SQL

Global Trainee in the Cold Lamination area: Electrolytic Cleaning and Annealing of cold rolled steel, in tasks related to improvements in the efficiency of the processes, industrial designs and preventive maintenance.Development and implementation of industrial datalogger for field instruments in remotes areas with no communication capabilities. Worked on:- C++, Python, Javascript- LoRa protocol over NodeMCU and Raspberry Pi- PLC

Development of control systems for industry. PLC programming and HMI/SCADA implementation. Control loop design and implementation for varied process types. Industrial network design applied to remote PLCs, engine starts and speed variators, process protections.