Emiliano Vivas Rodríguez
Software Engineer in Artificial Intelligence and Data Science.
Programming Technician.
Software developer who codes passionately. Enthusiastic about science, engineering, and humanities.
I love the idea of collaborating in teams.
I am a Computer Technologies Engineer graduated from Tecnológico de Monterrey (2025), with a concentration in Advanced Artificial Intelligence for Data Science. I have a strong academic background and was awarded the CENEVAL National Award for Outstanding Performance in the EGEL PLUS Software Engineering exam.
My professional and technical interests focus on Artificial Intelligence, Data Science, Full Stack Development, and intelligent systems. I have experience developing technological solutions that combine data analysis, web development, and machine learning to solve real-world problems.
Currently, I have experience as a Full Stack Developer and Data Analyst at Agua de Puebla, where I contributed to the management and optimization of drinking water infrastructure through a web-based GIS system. I have also worked on multidisciplinary and high-impact projects, including robotics competitions, bioengineering initiatives, and AI-driven platforms.
I participated as a Computer Vision Software Developer in the University Rover Challenge with Quantum Robotics, contributing to aerospace robotics for Martian exploration, and as Telemetry Leader in the NASA Human Exploration Rover Challenge, where our team achieved first place and received international recognition. Additionally, I collaborated as an IT Consultant in an iGEM bioengineering project and developed AI and RAG-based educational systems as part of my autonomous project Visiopreneur.
Technically, I work with Python, R, C/C++, .NET, React.js, MySQL, AWS, GCP, and ROS, with experience in machine learning, data analysis, real-time applications, and AI systems design. I am especially interested in building scalable, data-driven, and socially impactful technological solutions.
I am passionate about scientific innovation, bio-inspired systems, algorithm design, and the application of AI to complex interdisciplinary challenges.
