Francisco Vinueza

Developing algorithms for gathering users' WIFI information (probe requests, probe response and beacon packets). Sharpening WIFI dataset. Creating new features for predictions (data augmentation). Processing and cleansing the integrity of data used for analysis. Selecting features, building and optimizing regression models using machine learning techniques. Regularizing models, data split, configuration of hyperparameters and comparing scores between models.

Led developer for business-critical application, delivering a software solution for crops. The project was cloud based with mobile devices in Android for mingadelcacao.com Participated in the full development life cycle, including requirements, analysis, design and development for android and web-based systems using Java and NodeJS. Designed microservices with REST APIs and Migrated from SOAP to REST protocol for quindefee.com WS, improving application response time by 10%.

Set up email cluster, application clusters (Apache, Wildfly, JBOSS) and database clusters (Elastic Search, MariaDB, Oracle) quindefee.com using load balancers and Ansible. Migrated Apache, Wildfly and MariaDB servers between data centers inside Digital Ocean cloud improving response time by 20%. Scale up email, application and database servers. Automated build and deployment process with Jenkins, Docker and Maven, reducing human error and speeding up production process by 80% for quindefee.com.

Worked closely with the team leader, business analyst and product owner for understanding the functional and system requirements. Coded web designed interfaces using Java, XML, AJAX, JWS, PrimeFaces. Collaborated in the development of projects using Java. Attended and contributed to development team meetings, troubleshooting, patched computer code. Analyzed existing applications to correct problems and respond to user requests.

Machine Learning Data Science Deep Learning

Programming Linux Infrastructure Networking