I’m a problem solver, a collaborator, and someone who pushes for continuous improvement wherever I go.
Hi, I’m Carlos — a Quality Engineer who thrives at the intersection of technical know-how and real teamwork. Over the years, I’ve learned that quality isn’t just about catching defects or following standards — it’s about solving problems, building trust, and helping teams deliver their best work.
I’m detail-driven and analytical by nature, which means I spot issues quickly and enjoy digging into the data to fix them. But what really defines me is how I work with people: collaborating across functions, leading projects, and keeping communication clear and practical.
I adapt easily to new technologies and evolving standards, and I always ground my decisions in ethics and responsibility. Whether I’m presenting data, resolving challenges, or connecting with customers, I bring a balance of technical skill and human touch to every situation.
| Born: | January 4th 1987 |
| Place: | Juarez Chihuahua |
| Experience: | 20+ years QA/QC |
Educated as a Mecatronic Engineer i am the perfect blend
between Electronics and Mechanics.
I have spent over 10 years designing and machining parts and
machinery for the industry, gaining in the process a whole
bunch of knowledge and expertice, which i used later as a
foundation to build my quality carrer on top.
| Spanish: | Native |
| English: | Advanced |
| German: | Basic/Studying |
Carrying the title of Quality Assurance Engineer, took many roles within the comnpany, such as SQE, NPI, IQC, and CQE. In this interesting position, i had to interact in the whole quality interactions possible, from the quality of the components and material comming into the processes, engineering in the transformation process, while taking care of the customer alerts and complaints. Providing me with the complete perpective of the manufacturing quality and the importance of it.
Performing as a Customer Engineer, worked with top cloud providers as AWS and Google, tasked to understand, investigate and solve, problems related to the manufacturing as to mantein an environment of continuous improvemnt using systems as Lean Manufacturing.
Taking part of the automotive side of the company, i led multi-disciplinary teams to solve problems using tools as 8D 5W and Ishikawa analysis, or more advance tools such as PDCA and DMAIC, as i consider necesary given the criticality of some problems.
Acting as a representative of the company in the customers site, ensuring the quality standards of the products where met and serving as a link to the manufacturer engineering and quality, managing the problem solving activities in the Rivian and Hundai assembly plants.
Corteks has being one of the major learning oportuninties in my carrer, being an anvisious enterprenurship, Dedicated to the design and manufacture of machinery for the transformation industry. Focused into the automation and testing, provided several servises as mechanical design, machining, test machinery manufacture, electric control and automation.
Knologix is a iniative to share and expand the knoledge
aquired along my career in a webapplication composed of a blog
with articles related to Engineering, Industry and technology
serving as a bank of knowledge for professional and the
curious.
The core of the application will be an interactive set of
tools that will aid and facilitate the work of problem solvers
and time managers.
Corteks is an enterprenurship started in 2015 with the finality of providing the industry with a local source of mechanical design and machinery assembly, automation solutions as of lecectrical and logical control.
In parallel with my career in quality engineering, I am actively developing software and technical skills to strengthen my ability to automate processes, analyze data, and build practical tools. My learning focus includes C++, Rust, and Python for system-level programming and scripting, as well as web development using Node.js and React with an emphasis on clean architecture and user-centered UX/UI design. This ongoing development enhances my analytical thinking, problem-solving capabilities, and ability to bridge quality, engineering, and modern digital solutions
I am an AI-Native Developer, in other words: i am a software engineer who builds applications with AI deeply integrated into their workflow—using AI tools to generate, optimize, and maintain code as a natural part of the development process.
MCP (Model Context Protocol) is an open standard developed by Anthropic that lets AI models securely connect to external data, tools, and APIs, providing richer context and enabling more useful, controlled interactions.
Firebase Studio is a cloud-based, AI-augmented development environment by Google that enables you to prototype, build, and deploy full-stack AI-infused apps—using Gemini as your assistant, templates, and seamless integration with Firebase services.
n8n is an open-source workflow automation tool that lets you connect apps, APIs, and services with minimal coding. It provides a visual editor to build workflows for automating tasks, data transfers, and integrations across different platforms.
NotebookLM is an AI-powered notebook & research assistant from Google that becomes an “expert” on your own documents. You upload sources (PDFs, Google Docs, web pages, etc.), and it can summarize, answer questions, generate study guides, and even produce podcast-style audio overviews anchored in your materials.
I actively use Linux as my primary working environment, centered on Arch Linux and a highly automated, efficiency-driven setup. This ecosystem allows me to script workflows, automate repetitive tasks, and maintain precise control over system behavior—an approach that closely mirrors quality principles such as standardization, error prevention, and continuous improvement.
Through managing a personal Linux-based home lab, I work with virtualization, local service deployment, version-controlled configurations, and automated processes that resemble CI/CD pipelines. This experience strengthens my ability to think in terms of system reliability, root-cause analysis, and process optimization, directly supporting my work in quality engineering, problem-solving, and data-driven decision-making.
Among the Linux distros installed in my machines i am focusing on the most popular OS in the serverver realm like Debian, RHEL and Arch:
My daily working environment is built around Linux, which allows me to maintain a highly efficient, controlled, and automation-focused workflow. Using a lightweight and customizable setup, I prioritize system reliability, repeatability, and rapid problem resolution.
This environment reinforces disciplined habits such as configuration management, documentation, and continuous improvement, which directly influence how I approach quality engineering and technical problem-solving.