My name is Marco Aurelio Guado Zavaleta, and I am an Electronic Engineer with a Master’s degree in Corporate Software Development. With two decades of experience in the world of software development, I have worked in various technological architectures, ranging from web and mobile solutions to service-oriented architecture (SOA), business process management (BPM), and microservices, both in on-premise and cloud environments.
My true passion lies in creating technological solutions that meet the needs of businesses, and my commitment is reflected in my constant pursuit of improvements and innovations. I always strive to apply simple and common-sense-based solutions, following the KISS (Keep It Simple, Stupid) principle to the fullest extent.
My dedication is evident in my determination to tackle challenges and not rest until satisfactory answers are found. I love collaborating with my colleagues and sharing my knowledge with the team. Additionally, I have specialized training in key areas such as Blockchain, Big Data, and Generative Artificial Intelligence (AI). Currently, I am immersed in research related to generative AI solutions and tools using Extended Language Models (ELMs).
My technological knowledge :
1999 – Apache, Tomcat , Servlet , JSP , JavaScript , Flash , Macromedia
2002 – Red hat linux , script , mysql
2003 – Java micro edition – mobile , wap
2004 – Eclipse , Struts , Axis, XML , Ant
2005 – JSF, Spring, JEE , Oracle , CMMI
2006 – Portales, Hibernate, iBatis
2007 – Google Web ToolKit
2008 – RDFI Cards
2009 – NetBeans, Glassfish , EJB , JPA , JAX -WS , JQuery
2010 – Environment Integration , Hudson , Maven , SVN
2012 – Debian, Neo4j , Scala , Integration Auth token (Facebook , LinkedIn ) , RELS , Weblogic , BPM
2013 – SAP Mobil, ODATA , Cordova / PhoneGap
My interest is now investigating the Cloud , SaaS, IaaS , PaaS , BigData platforms etc .
2016 — Microservices, containers; docker, vagrant.
2017 — Data Science, R, RStudio, Shiny, Industry 4.0, IoT, Architecture Kappa (BigData)
2022 — Terraform, AWS, SES, S3
2023 — IA Generative, Vector Data base, Python