Trully is an advanced identity enrichment platform that leverages the latest advancements in artificial intelligence, collective intelligence, and big data to minimize risk for organizations across various industries, including finance and fraud. By identifying and stopping fraudulent actors within our network, we aim to create a safer and more secure environment for all stakeholders.As we continue to grow, Trully is poised to become the largest digital footprint and the go-to source for data collection in LATAM. Our unique data assets enable companies to take decisive actions against impersonation fraud, better target customers, predict income levels, and make informed underwriting decisions.At Trully, we are committed to delivering exceptional results through innovation, collaboration, and a relentless focus on customer satisfaction. Our cutting-edge technology and industry-leading expertise make us an invaluable partner for any organization seeking to minimize risk and maximize value.

Angel Investor

Advisory en estrategia en Datos para C-Suite

Rappi is a leading startup in Latin America, and its financial arm, RappiCard, plays a crucial role in the company's success. As Chief Data Officer at RappiCard, I oversee all aspects of data management, from conception to exploitation, including Data Engineering, Business Intelligence, and Data Science.In this capacity, I work closely with various stakeholders across the organization to develop and execute projects that deliver value to the company and its customers. My primary focus is on customer acquisition, underwriting, collections and fraud prevention, for which I develop, test, and implement machine learning algorithms.Through my efforts, I strive to ensure that RappiCard remains a reliable and trustworthy partner for our customers, providing them with the services they need when they need them.

Banco Azteca is a prominent financial institution in Mexico, with a reputation as the top recipient of remittances for its customers. As the Director of Artificial Intelligence at Banco Azteca, my top priority is to enhance the customer experience and generate value through the implementation of cutting-edge technology. I believe that data exploitation is an essential tool in achieving these goals.At Banco Azteca, my primary responsibilities include leading the implementation of AI technology and ensuring the correct analysis and exploitation of data to impact areas that align with the bank's vision. To this end, I engage in extensive planning, directing, and developing AI models, all while maintaining a strong focus on enhancing the overall customer experience and maximizing value for our customers.By leveraging data exploitation and other advanced technologies, I am committed to driving the success of our AI initiatives, enabling Banco Azteca to maintain its position as a leader in the Mexican financial industry while delivering superior value to our customers.

Skala Ventures is dedicated to developing innovative strategies and products that have a positive impact on society. As a member of the Skala Ventures team, my role is that of an AI/Algorithm Developer and Technology Enabler, working to create cutting-edge solutions for our customers and products.Through my work, I leverage the latest advancements in AI and algorithm development to build powerful, impactful technology that drives positive change. By collaborating closely with our team and partners, I strive to deliver exceptional results that meet and exceed the expectations of our clients and contribute to a better world.At Skala Ventures, I am an AI/Algorithm developer and technology enabler for our customers and products.

As a member of the Advanced Engineering team within the Systems and Technologies (S&T) unit, I am responsible for developing innovative products for the market utilizing cutting-edge technologies. Specifically, at S&T, I am a key player in the development and implementation of novel Machine Learning and Artificial Intelligence algorithms. This involves leading the design, development, and deployment of these algorithms to enable our organization to stay at the forefront of technological advancement and maintain a competitive edge in the market. My role also entails collaborating with cross-functional teams to ensure that our products meet or exceed customer expectations while adhering to industry standards and best practices.

As an Algorithm Engineer for Advanced Driver Assistance Systems (ADAS) at Continental, my primary focus is the development of cutting-edge technologies for autonomous driving systems. This involves designing and implementing Machine Learning algorithms that enable the vehicle to learn from its environment and adapt to diverse situations. A typical day in my role involves analyzing and understanding the data provided by long-range sensors mounted in the vehicle, in order to apply the most appropriate Machine Learning algorithm for a given classification or regression task. In this way, I work to ensure that the autonomous driving system operates effectively and safely in a wide range of environments and driving conditions. Additionally, I collaborate with cross-functional teams to ensure that our solutions meet or exceed customer expectations and adhere to industry standards for safety and reliability.

I have extensive experience in planning, installing, commissioning, and programming automated cells for the automotive industry, utilizing industrial robots with 3 to 7 degrees of freedom (DOF).Throughout my career, I have worked with various industrial robots, including Krauss Maffei's LRX/LRX-S/LR/SR, KUKA 6DOF, and ABB 6DOF robots. In addition to programming robots for industry-specific applications, I also helped the company improve its robotics courses and created my own Automation Course to help customers better understand industrial automation.In 2016, I made the decision to pursue an MSc degree in Artificial Intelligence at the University of Edinburgh in Scotland. Through this program, I aim to gain new knowledge and experience that will enable me to continue contributing to the field of robotics and automation. My goal is to leverage my expertise to develop innovative solutions that enhance productivity, safety, and efficiency for organizations across various industries.

Centro Laser de Queretaro is a renowned ophthalmic center in Mexico, providing top-of-the-line services to ophthalmologists and patients across the country.During my tenure at Centro Laser de Queretaro, I gained valuable experience in automating various basic environments by improving, installing, and programming motion detection and automated light control systems. I also took on the responsibility of repairing and maintaining the sophisticated ophthalmic equipment used by the center, ensuring uninterrupted and efficient services to patients.

In August 2013, I was awarded a scholarship by the Mexican Government to attend entrepreneurial courses and develop an engineering project at the Washington Center in Washington DC.During my time in Washington DC, I completed an internship at the Interamerican Commission of Human Rights (IACHR) in the Organization of American States (OAS). As part of my internship, I was responsible for improving data analysis through automated methods, utilizing my programming skills in Python and Excel to increase efficiency. Additionally, I provided training courses to lawyers and personnel at the OAS on Microsoft Office Word, Microsoft Office Excel, and Adobe Acrobat Pro.