Andrés CelisSenior QA EngineerLet’s talk

Leading people.
Building coverage.
Making risk visible.

Pixel-art portrait of Andrés Felipe Celis Gómez, smiling in front of a bookshelf

I’m Andrés Felipe Celis Gómez — a QA engineer and former QA Lead who combines hands-on test automation with technical leadership.

My experience spans financial services and entertainment across web, mobile, APIs and microservices. I’ve led and mentored QA teams across multiple regions while staying hands-on with API, UI and Java unit-test automation. I also develop AI projects and explore how AI-assisted workflows can strengthen software quality.

Experience Email me

Based in Bogotá, Colombia

Timeline

Across QA roles, independent technology consulting and postgraduate study, my path brings together hands-on engineering, technical leadership and continued learning.
Select a card for details.

Globant

Test Automation Engineer

Oct 2022 – present

Technical QA leadership · API, UI and unit testing

I connect hands-on automation with the people and practices that make a test suite useful over time.

  • Provide technical leadership to a six-person team and have mentored eight QA and development professionals.
  • Work with approximately 150 automated API cases using Node.js, Mocha/Chai and Karate DSL.
  • Develop Java/Spring Boot unit tests that run on every merge request; automate UI checks with Selenium/Cucumber and run manual regression every two weeks.
Technical leadership · 6 people~150 automated API casesUnit tests in CI/CD
Universidad Carlos III de Madrid

Master’s in Entrepreneurship

Sep 2021 – Sep 2022

Postgraduate study · Getafe, Spain

I earned the Master in Entrepreneurship and Business Venturing at Universidad Carlos III de Madrid.

  • Received the Special Prize for the Highest Academic Achievement in the master’s program for the 2021/22 academic year; awarded in November 2022.
  • During this period, completed a traineeship at Beside (Feb–Mar 2022), supporting employer and sponsor outreach for Powercoders and researching the AI market in Spain.
Postgraduate studyAcademic prize · 2021/22Powercoders traineeship
Globant

Test Automation Engineer

Aug 2020 – Aug 2021

Agile delivery · microservices, web and mobile

I developed automated API tests and contributed to regression testing across web and mobile products.

  • Developed and executed automated API tests for microservices using Node.js, JavaScript, Mocha and Chai.
  • Contributed to regression testing and test automation for web and mobile products in an Agile team.
  • Worked with developers and QA colleagues to identify and analyze defects.
API automationNode.js · Mocha · ChaiWeb · mobile
Globant

Quality Control Analyst

Aug 2018 – Aug 2020

Mobile applications · multimedia streaming services

I guided QA activities and tested mobile and streaming experiences, including the microservices behind them.

  • Guided QA teams in planning, executing and tracking quality activities.
  • Designed and executed functional and regression tests for Android and iOS applications and multimedia streaming services.
  • Validated microservices with Postman and monitored logs to identify and analyze defects.
Android · iOSStreaming servicesPostman · log analysis
Self-employed

Technology and Innovation Consultant

Nov 2017 – Aug 2018

Independent consulting · software and web projects

I advised clients on software projects and helped deliver the first version of a mobile game designed to support the care of older adults.

  • Advised companies and independent clients on defining, planning and delivering software projects and web solutions.
  • Participated in the mobile game’s early planning, led hiring and supported technical delivery of its first version.
  • Continued as a technical advisor to the product and created websites for private clients.
Independent consultingMobile product deliveryTechnical advisory
Prodigious Latin America

QA Lead

Jan 2016 – Oct 2017

Automotive product · Adobe Experience Manager · preproduction UAT

I led nine QA analysts through web and mobile UAT, keeping regression coverage and sprint progress visible across teams.

  • Designed the project test plan and strategy for web, Android and iOS.
  • Maintained more than 300 regression cases across browsers and devices.
  • Reported sprint progress and onboarded and trained QA colleagues in the UK and India.
9 QA analysts300+ regression casesWeb · Android · iOS
Easy Solutions

QA Lead

Jun 2015 – Dec 2015

Internal fraud-case tracking application · redesign

I helped give a redesign its testing structure while working closely with the team that used the application.

  • Led QA activities and mentored a junior analyst.
  • Designed the test plan, strategy, risk matrix and regression cases.
  • Executed manual UI, integration and MySQL database tests.
QA planningRisk matrixManual integration testing

An AI-augmented quality loop

This proposed approach connects software development, QA and evaluation of generative and agentic AI. Bounded agents can accelerate analysis and investigation; people define quality, verify failures and own release decisions.

AI for QA Draft cases, test data and investigation hypotheses for human review.

QA for AI Evaluate variable outputs, multi-step agent actions, tool use and safety.

  1. Specify & assess risk

    Map user journeys, architecture and acceptance criteria. Include AI and agent failure modes when they are part of the product.

    Agent skill

    Specification review · risk mapping

  2. Build & design coverage

    Pair unit, API, UI and regression checks with reference cases, scoring rubrics and multi-step tasks for AI features.

    Agent skill

    Candidate cases · synthetic data

  3. Execute & evaluate

    Run automation and exploratory tests. Inspect outputs, traces and tool calls; probe prompt injection and data exposure where relevant.

    Agent skill

    Trace triage · failure clustering

  4. Release & learn

    Review coverage and residual risk for a human go/no-go decision. Turn defects and live signals into new regression cases.

    Agent skill

    Evidence summary · case updates

AI feedback loopObserve failures → propose new cases and safeguards → review → re-evaluate.

Recent AI builds

These are software-development projects that reflect curiosity and hands-on learning. They complement my professional QA record; they are not presented as client QA work.

Hardcore AI + 30X - Program DemoJul 2026

Tinwa

An AI assistant for architecture studios, designed to consolidate supplier quotes into proposals that require human approval.

I identified the problem, specified the architecture using AIDLC, implemented part of the planned MVP, orchestrated agents with OpenSymphony and deployed an initial version to production.

AIDLCAgent orchestrationHuman approval
AI Tinkerers + OpenAI HackathonSep 2026

Xentinela

A proposed mobile AI agent to detect signs of phone scams and alert users.

At an AI Tinkerers hackathon sponsored by OpenAI, I helped frame and specify the problem and implemented part of the MVP backend.

Official project entry Team repository

Always learning, with a quality lens.

Hardcore AI included dedicated QA and security modules. I also completed the MIT Entrepreneurship Online Bootcamp (2018). Earlier, Happtic—a proposed mobile and vibrotactile learning aid—was selected as an Ayudapps winner by Colciencias.