Santiago Alaniz

My role involves making creative decisions and adapting to collaborator needs, ensuring efficient testing and deployment of functional code. I design and develop Terraform modules for AWS infrastructure and orchestrate Kubernetes deployments using Helm, implementing CI/CD pipelines.

Currently serving as a Ruby on Rails Developer and DevOps Developer, I am responsible for API audits and comprehensive documentation. My role involves applying strong Computer Science knowledge to enhance system reliability and performance.

I conducted a comprehensive audit of the edenordigital/api, built with Ruby on Rails, and other business-specific APIs including ASP and JAVA EE. This process involved thoroughly reviewing code, security, performance, and compliance to ensure API quality.

In this state competition, I was responsible for surveying necessary requirements and conducting an exhaustive analysis of required functionalities. My work included defining innovative NLP and machine learning tools for public service improvement.

As a FullStack Developer and Tech Lead, I managed an internal project for employee leave management, focusing on third-party integrations. I ensured quality assurance and testing using tools like RSpec, SimpleCov, Reek, and RuboCop.

I managed the maintenance and updating of the accounting website, overseeing the transition to the latest Ruby on Rails version. This project also involved working with AWS buckets for efficient loading of remote images.

As an API Team member, I contributed to a B2B application for the American automotive sector, working within a diverse US-based agile team. My responsibilities included incorporating new functionalities, conducting manual testing, and presenting periodic live demos of new features.

As a Junior Analyst and Ruby on Rails Developer, I focused on continuous self-study and learning from project challenges. I contributed to development efforts, applying agile methodologies and performing manual testing for a US-based client.

Currently pursuing a degree in Computer Science Engineering, having completed 356 out of 450 career credits. The curriculum covers a wide range of topics including Object-Oriented Programming, Software Business, Algorithm Design, Relational Databases, and Network Management. Additionally, studies include Semantic Web, Operations Research, Distributed Algorithms, Monte Carlo Methods, and PLN.

Grade: High-intermediate level

Achieved the ECCE (Examination for the Certificate of Competency in English) certification. This standardized English exam for non-native speakers ratifies a high-intermediate level of English proficiency.