I am an ambitious Software Developer with 3+ years of technical expertise; using primarily PHP for the development of innovative backend solutions on projects for clients. I am very proactive and employ a client-centred approach for delivery on projects; by producing clean, well-written and efficient code for the implementation of high-quality solutions for clients.
Creating and developing innovative software solutions for clients across a broad range of industries.
Worked on the implementation of a payment processing service and integrated CI tasks on the project to process thousands of operations per week.
Developed a new infraestructure in AWS for the platform; using new deployment tools like ECS, EC2, RDS and Load Balancers.
Developed and maintained new features on a Symfony, Docker and Javascript backend solution for the client.
Designed, developed and deployed a course scheduling and payroll module onto ATL's Arc-en-Ciel management platform within one month.
Developed a new features documentation workflow that improved QA within the company.
Fixed bugs and developed new features for ATL's solutions.
Designed, developed and implemented a new intranet web application for the company.
Revamped the design of the web application and implemented features on the application using Vanilla Javascript to improve usability.
Introduced new code versioning and continuous integration approaches to the development process of the team.
EURUS.OG's platform provides a complete, safe and secure online experience for users who want to buy sneakers in the EU. Developed the frontend in Angular and integrated the solution with Firebase. Led a team of 3 developers on the project.
Developed an electoral control system for the presidential election in Ecuador. Managed millions of records in the electoral register for the elections and optimized the application to seamlessly process a lot of data
Developed a Google Chrome extension with a Machine Learning classifier to detect malicious emails. Utilized Support Vector Machines as a classifier for the detection of malicious emails with a precision rate of 80%.
