Versatile Software Developer with 5+ years of industry and high-level proficiency in Python, Celery, Redis, and front-end technologies as well. Well-versed and experienced with Web Application Architecture and successfully collaborated with a good number of development teams. Hands-on experience with large enterprise applications and frameworks for McAfee and Intel. Gaston is focused on research methods for meeting the needs of a company as a business through technology.
Acted as main developer in a render farm with Master/Workers architecture coded in Python. Developed the Master using Django Rest framework, migrated from Tornado, and Celery for the queuing system. The workers run Celery tasks, with Redis used as back-end results and MQTT as a broker.
Developed a 3D assets web library with backend in NodeJS, PostgresSQL as a database, and frontend developed using Vue.js. The website was integrated with the design tools and the deployment was automated using Docker.
Created automated rendering submissions to the render farm using Python scripts. Developed integrations and automation made for the different tools (Browzwear VStitcher/Lotta) and systems, using Python scripts.
Acted as full stack developer in Mcafee’s SIEM, using Java and Angular, as well as developing Cucumber automated tests in Ruby.
Supported the development team by adding unit test and fixing bugs to ePO Java extensions and the improvement of ePO mySQL store procedures.
Developed a notification service for ePO Cloud through REST API implemented in Javascript over NodeJS, with Redis as storage, and a web interface using Angular, HTML5, and CSS.
Implemented a configurable rest API automatic tests based on its definition using Python and Behave.
Developed a web user interface to configure and exercise an Intel IoT simulated device using Python and HTML5 with Bootstrap. Worked on the deployment of the tool using AWS services and Docker containers.
Designed and implemented an Intel IoT starter kit web management tool in Python and HTML5 to install, configure and monitor applications, and provide a web interface to interact with those.
The Intel® IoT Platform includes end-to-end reference architectures model and family of products from Intel and its ecosystem that works with third-party solutions to provide a foundation for seamlessly and securely connecting devices, delivering trusted data to the cloud, and delivering value through analytics. Developed a configurable framework to automatically test REST API, using Python, Behave. Enhanced the web GUI for management of IoT devices. Achieved Best Demo award, in software professional conference 2015 and Best Poster in software professional conference 2016. The project was successfully launched and has millions of connections from IoT devices. Technologies used in the project: Python (Behave, Tornado), Javascript, HTML5, CSS, AWS Services.
McAfee ePO is a truly centralized management platform to help prioritize alerts. Working six separate consoles is not the same as working an integrated console. McAfee ePO ensures your security tools work together with orchestrated controls, shared intelligence, and automated workflows. Add new capabilities and intelligence while enabling tools and native controls such as Microsoft Windows Defender to collaborate as the threat landscape evolves. I developed a Cucumber automated test in Ruby and improved the mySQL stored procedures. Enhanced the notification service extension for ePO cloud. The project was successfully launched and currently has thousands of users. Technologies used in the project: NodeJS, Redis, Ruby, Java, Angular 2, Javascript, HTML5, CSS, AWS Services.
The project leads the transformation of the design and production process of the brands Tommy Hilfiger and Calvin Klein Europe, from 2D to fully 3D, impacting in the workflow of designers, merchandisers, sells and manufacturing. Contributed as a Full-Stack developer for all areas of the project's development. Achieved an auto scalable Cloud render farm that can serve to all company designers. Developed a web server to manage designers' 3D renders. Reduced the cost of rendering by 50%, as well as time usage by 80% compared to the previous Cloud service used. Implemented a web GUI for the management of 3D Renders to reduces designer workflow time. The project was successfully launched and will serve 2200 facilities. Technologies used in the project: Python, Django, Django Rest Framework, Celery, PostgreSQL, NodeJS, Redis, VueJS, Terraform, AWS Services.
Education
Computer Engineering Degree
FCEFyN, National University of Cordoba
2010 - 2016 (6 years)
Bachelor in Economics and Management of organizations
Instuto Juan Zorrilla de San Martin, Cordoba, Argentina
