Software Engineer Qa Automation

GUEVARA TORRES

Denver, CO 720-***-**** *********@*****.*** LinkedIn

SOFTWARE ENGINEER

Innovative software engineer delivering solutions in Backend, Architecture, Agile Development, QA Automation and Validation. Versatile, skilled, result driven, detail-oriented and proven professional with outstanding interpersonal, communications, problem solving and team and collaboration skills. Success through business process improvements, efficiencies through critical analysis, problem solving and motivation to achieve results. PROGRAMS TECHNOLOGY SKILLS

Languages: C#, SQL, XML, JSON, JavaScript/TypeScript, HTML, CSS, Apex Tech: Microsoft SQL Server Management Studio, Microsoft Azure DevOps, Git/GitHub, Visual Studio Operating Systems: Windows

WORK EXPERIENCE

Revolent Group, Denver, CO Salesforce Developer January 2024 – August 2024 Maintained and created Programmatic and Declarative features for Hike2's Lemon Law Firm client, Strategic Legal Practices (SLP).

• Use of Trackers as User Stories to provide documentation and test plans.

• Participated in User Story grooming with Hike2’s project manager and other team members to provide estimates and outstanding client questions.

• Use of Stub Framework for testing to provide Hike2's clients with performant Salesforce Solutions.

• Designed and implemented data through Salesforce’s programming language Apex.

• Provided documentation, tests, and resolution for defect management. FIS Global, Denver, CO Technologist-Engineer - QA Automation June 2021 – March 2023 Maintained and improved a service for users to automate QA validation for the QA Automation team locally and via cloud.

• Used technologies such as ASP.Net and MSSMS, following Agile development best practices for design, implementation, and deployment with Microsoft Azure.

• Conceptualized, designed, implemented, unit tested, peer reviewed and released proprietary software that saved FIS millions of dollars a year by automating QA Automation test set validations.

• Implemented features to increase the speed of QA Regression tests such as reducing the size of simulated PoS command lists by removing redundant commands, providing a faster Regression cycle. iTap, New York, NY Backend Developer Intern June 2020 – January 2021 Provided a service that will allow users to be heard locally.

• Utilized technologies to follow industry best practices to design, implement, and deploy with Docker, agile / scrum with Slack, test driven development, CI/CD and version control with Gitlab. CUNY Tech Prep, New York, NY Software Developer Fellow June 2019 – May 2020 Selected from an applicant pool of 400+ to serve as a Fellow for a full stack JavaScript training program

• Implemented industry best practices for design, implementation, and deployment such as MVC, version control with Git/GitHub, agile and scrum with Trello and Slack, test driven development, and CI/CD. EDUCATION

Lehman College - City University of New York Bachelor of Science in Computer Science January 2021 Object-oriented Programming (OOP), Data Structures / Algorithms, Machine Learning, Java Programming, Database Fundamentals

PROJECTS

Dropbox Sign Menu Lookup September 2023 – November 2023

• Allows users to sign legal documents and add or remove access to documents.

• Created a Single Page Application(SPA) with React.js to implement the user interface.

• Created a RESTful Application Programming Interface(API) with .NET Core to implement the backend. Mercury Unified Repository Test Suite (FIS Global) June 2021 - March 2023

• Worked on a team of 6 to provide regression testing and load testing to simulate the transactions between a PoS device and FIS’s proprietary PoS Software TriPOS via MURTS.

• Implemented with .NET RESTful APIs for the backend and a mix of Winforms and WPF specifically for the frontend. Microsoft SQL Server Management Studio for the database. Toxic Comment Model, Jigsaw Multilingual Toxic Comment Competition May 2020

• Can identify toxicity in online conversations, where toxicity is defined as anything rude, disrespectful or otherwise likely to make someone leave a discussion.

• Implemented with Python and Tensorflow, the English data provided for the competition trained the model to predict toxicity from Wikipedia talk page comments in several different languages. Wordsmith, CUNY Tech Prep December 2019

• Worked on a team of 3 people to implement a functional language learning application that aids users by having them interact with native speakers of said language.

• Implemented with Postgres, Express, React, Amazon Translator API to receive a translated message from the foreign language speaker you are texting.

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