Hingo Niklas dos Santos
Hingo Niklas dos Santos is results-driven and, over more than 15 years, has successfully performed various roles in Test Engineering, Automation, and DevOps. He led global testing teams in Europe, India, and Latin America, where he had the opportunity to establish communities of practice, mentor professionals, and create frameworks that enhance both the speed and quality of project delivery. Currently, at BNP Paribas in Lisbon, as the Head of QA, he is responsible for defining the QA strategy for critical applications and leads initiatives based on Artificial Intelligence (AI), with the goal of optimizing team performance through simple and impactful changes, integrated into regular testing activities. In the past, he also had the opportunity to teach the Artificial Intelligence course in the Computer Science program at the Faculdade de Jaguariúna in Brazil, where he managed to combine industry experience with the academic component. He is currently pursuing a postgraduate degree in Artificial Intelligence, deepening his commitment to the practical application of these approaches in the context of software testing
Hingo Niklas dos Santos
Hingo Niklas dos Santos is results-driven and, over more than 15 years, has successfully performed various roles in Test Engineering, Automation, and DevOps. He led global testing teams in Europe, India, and Latin America, where he had the opportunity to establish communities of practice, mentor professionals, and create frameworks that enhance both the speed and quality of project delivery. Currently, at BNP Paribas in Lisbon, as the Head of QA, he is responsible for defining the QA strategy for critical applications and leads initiatives based on Artificial Intelligence (AI), with the goal of optimizing team performance through simple and impactful changes, integrated into regular testing activities. In the past, he also had the opportunity to teach the Artificial Intelligence course in the Computer Science program at the Faculdade de Jaguariúna in Brazil, where he managed to combine industry experience with the academic component. He is currently pursuing a postgraduate degree in Artificial Intelligence, deepening his commitment to the practical application of these approaches in the context of software testing
Hingo Niklas dos Santos
Hingo Niklas dos Santos is results-driven and, over more than 15 years, has successfully performed various roles in Test Engineering, Automation, and DevOps. He led global testing teams in Europe, India, and Latin America, where he had the opportunity to establish communities of practice, mentor professionals, and create frameworks that enhance both the speed and quality of project delivery. Currently, at BNP Paribas in Lisbon, as the Head of QA, he is responsible for defining the QA strategy for critical applications and leads initiatives based on Artificial Intelligence (AI), with the goal of optimizing team performance through simple and impactful changes, integrated into regular testing activities. In the past, he also had the opportunity to teach the Artificial Intelligence course in the Computer Science program at the Faculdade de Jaguariúna in Brazil, where he managed to combine industry experience with the academic component. He is currently pursuing a postgraduate degree in Artificial Intelligence, deepening his commitment to the practical application of these approaches in the context of software testing
Calendar
Call for Speakers
25 November
Demystifying AI in Testing
While many presentations get lost in complex architectures and models with various parameters, most testing professionals remain without an answer to essential questions: what types of artificial intelligence truly work in the context of testing and, above all, where to start without falling into the exaggeration of the hype. This session proposes to slow down the pace — not to oversimplify, but to make the topic accessible and applicable to those on the ground, ensuring quality every day. The main types of AI will be presented, with examples inspired by real and easily adoptable cases. With a practical and uncomplicated approach, the session will explore ways to apply AI in common day-to-day testing activities, with a primary focus on how to take the first step. The session includes ready-to-use prompts and a maturity checklist to help each team understand where they are and how they can advance. More than a technical lecture, this is a call to action: you don't need to be an expert to use AI in testing — all you need is context, clarity, and curiosity.
Calendar
Call for Speakers
25 November
Demystifying AI in Testing
While many presentations get lost in complex architectures and models with various parameters, most testing professionals remain without an answer to essential questions: what types of artificial intelligence truly work in the context of testing and, above all, where to start without falling into the exaggeration of the hype. This session proposes to slow down the pace — not to oversimplify, but to make the topic accessible and applicable to those on the ground, ensuring quality every day. The main types of AI will be presented, with examples inspired by real and easily adoptable cases. With a practical and uncomplicated approach, the session will explore ways to apply AI in common day-to-day testing activities, with a primary focus on how to take the first step. The session includes ready-to-use prompts and a maturity checklist to help each team understand where they are and how they can advance. More than a technical lecture, this is a call to action: you don't need to be an expert to use AI in testing — all you need is context, clarity, and curiosity.
