A full-stack engineer whose chemistry and software background shapes how she builds Cohorts AI and Growth AI at QuadSci.

Behind every prediction QuadSci delivers is a team of engineers focused on making complex intelligence clear, actionable, and reliable. We sat down with Karla Regina Esquivel to talk about her path to software engineering, what she's building today, and how thoughtful product design turns AI into something people can trust.
QuadSci is a company that makes you feel at home. Its commitment to technology, innovation, and continuous improvement creates an environment where people are encouraged to learn, grow, and contribute meaningful work. Being part of QuadSci has been one of the most rewarding experiences of my professional career, not only because of the technology we build but also because of the talented and supportive people I get to work with every day.
My academic background combines chemistry and software engineering, which gives me a unique perspective when building technology for scientific and data-driven environments. As a full-stack developer, I have experience working with technologies such as JavaScript, TypeScript, React, Vue.js, HTML, CSS, Python, PostgreSQL, REST APIs, Git, and cloud-based development workflows.
Throughout my career, I have built and maintained systems that help automate logistics operations for transportation companies, improving the management of drivers, vehicles, routes, and operational resources. I enjoy working across the entire development lifecycle, from designing intuitive user interfaces to implementing backend services and database solutions that support scalable and reliable applications. My combination of scientific thinking and engineering practices allows me to approach problems analytically while focusing on delivering practical solutions that create real business value.
Right now, I am focused on the development and maintenance of the Cohorts and Growth applications. My work involves building new features, improving existing functionality, optimizing user experiences, and ensuring the reliability and scalability of the platform. I also collaborate closely with cross-functional teams to identify opportunities for improvement and continuously enhance the product.
To me, accurate and useful intelligence is intelligence that helps people make better decisions and take meaningful action. Accuracy is essential, but it is only part of the equation. Information becomes truly valuable when it is presented in a way that is clear, relevant, and easy for users to understand and apply.
A great user experience plays a key role in this process. Even the most sophisticated model is limited if its outputs are difficult to interpret or act upon. Useful intelligence should reduce complexity, provide context, and guide users toward the next best action.
One thing people should know about me is that I'm deeply passionate about science and technology, and I strongly believe in the power of automation and innovation to improve how we solve real-world problems. I'm driven by the idea of building solutions that not only work technically, but also meaningfully improve people's experience—whether that's through better products, more accurate insights, or more effective diagnostics.