Jose is a Senior Software Developer with solid Python and Django experience and expertise in modern UI libraries to design and develop distributed and scalable systems using OOP and functional programming. He uses Python modules and libraries to solve programming challenges, adopts the latest engineering practices, and uses new technologies as required.
Creating and developing innovative Python software solutions for clients across a broad range of industries.
Participate in scrums consisting of cross-functional teams, both software and hardware.
Ensure that features are being delivered efficiently and on-time.
Participate in dev processes to design, engineer, and implement modern web apps to meet client needs.
Provide expertise to deliver quality features, maintain REST APIs, and execute services to AWS.
Refactored legacy program modules on existing applications with new solutions to improve code maintainability.
Created, trained, and deployed an ML model with features to predict credit defaults and improve collections by 10%.
Built and maintained an automated credit approval workflow and delivered a business continuity management system for Crediq.
Wrote and executed Python scripts to gather and preprocess data logs and raw files from different systems to enhance monitoring.
Conducted security assessments for clients in Central America - providing input to consider, assess, and prioritize multiple risk drivers.
Led 3 consultants to embrace security fundamentals and best practices on solutions.
Successfully delivered security initiatives and tested the impact of security changes to ensure minimal disruptions to business operations.
Designed and implemented solutions to manage packet-switched and circuit-switched mobile network platforms.
Developed and deployed an early warning system for the Ericsson 3G mobile network - preempting outages and disruptions.
Applied advanced concepts, industry practices, policies, and procedures to resolve complex issues.
Designed and implemented the OnFrontiers REST API - adding new features, maintaining the REST API on the Django REST Framework, and deploying the scalable solution to AWS EC2 and a PostgreSQL database.
Led a team of devs to design, develop, and maintain an automated credit approval workflow using Python and Django for the backend, VueJS for the frontend, and deployed the solution on a PostgreSQL database.
Built and deployed a machine learning model to predict which customers will default on their loans - leading to an increase in loan collections for the client. Deployed Scikit-learn in Python and utilized the Azure machine learning platform to design, train, and deploy the model.
