My purpose as a systems engineer is to develop interactive web and mobile analytical applications that can be integrated with the existing legacy systems and can be scalable with other technologies.
Working as a contractor for the Alaska Airlines Group. Responsible for building the data factory platform that delivers KPI metrics to the Optimizely API dashboards.
Designed and deployed the data platform as a Data Factory that is connected to a Data Lake and Databricks notebooks with a PySpark cluster.
Engineered Logic Apps and connected them to TypeScript Azure functions that I developed to deliver results to Optimizely in an hourly basis.
Developed automation modules of the Cisco Network Service Orchestrator (NSO) in Java and Python for detecting IoT devices, network configurations, and topologies.
Implemented unit tests using PyUnit and Jenkins pipelines to test the Cisco Data Center function pack.
Developed a supervised Machine Learning model for detecting the anomalies and failures in IoT devices which improved the system's efficiency.
Designed and developed Docker boilerplate images and deployed them through AWS Elastic BeanStalk and connected it to a AWS RDS and AWS Redshift service.
Transformed the existing data models into Django ORM models and created templates, views, forms and signals.
Implemented a CI/CD pipeline in order to automate the workflow of the project and performed automation tests with Jenkins.
Served as the tech lead in a team of 5 telecom engineers to develop a Django in-house web app (Navigator) aimed to assess engineers' performance across multiple countries in Central and South America.
Implemented a backend asynchronous task queue system for data processing pipelines using the libraries Django Celery and Django Pika for the AMQP protocol.
Responsible for connecting the Navigator system with SQL and NoSQL databases of the Radio Access Networks to display the current active incidents in the 3G and 4G networks.
Performed customizations in SyteLine and Infor CloudSuite modules with Java and the Infor Mongoose Framework.
Modified Stored Procedures and Triggers of the ERPs with PL/SQL.
Backed up and restored configurations in SyteLine to test the disaster recovery plans.
Principal author and speaker of the article Towards the Research of Possible Assesment Tools for Associative Learning Skills (see IEEE annals) at the SITIS 2013 conference in Kyoto, Japan.
Take a bus from Mexico City to Boulder, Colorado and start working in your next startup for the next 48 hours.
Stayed 6 months in Skovde for doing research in the visual analytics field and developing tools for preventing natural disasters.
Main author of the article Towards the Research of Possible Assesment Tools for Associative Learning Skills and speaker at the conference.
Worked remotely as an enthusiast machine learning engineer trying to classify satellite images for the Spacept startup.
Worked remotely as a machine learning engineer analyzing the perception of Twitter and Reddit users about the transition from fossil energy to clean energy alternatives.
I hold a Bachelor degree in Systems Engineering and Information Technologies from Universidad Anahuac, Certified Courses at a master level from Hogskolan i Skovde University and Certificate courses in Machine Learning and Deep Learning from the University of Washington.
August 2009 - May 2014
Edo. de México, México
September 2014 - January 2015
Skovde, Sweden
August 2022 - June 2023
Seattle, WA. USA
I'd like to hear about your current project! Contact me if you are looking for advice and I will do my best to help.
