Henrique Dantas serves as a Principal Applied Scientist Lead at Microsoft, where he is at the forefront of leveraging artificial intelligence to tackle complex, real-world challenges. With a robust background in machine learning and data science, Henrique excels in leading customer engagement initiatives that harness...
Henrique Dantas serves as a Principal Applied Scientist Lead at Microsoft, where he is at the forefront of leveraging artificial intelligence to tackle complex, real-world challenges. With a robust background in machine learning and data science, Henrique excels in leading customer engagement initiatives that harness the power of AI to deliver innovative solutions. His expertise in large language models (LLMs) is particularly noteworthy; he has successfully implemented these technologies to identify entities and relationships, constructing sophisticated graphs that significantly enhance search capabilities.
Henrique's work extends to the development of advanced machine learning systems capable of simulating geophysical phenomena, such as fluid dynamics and the behavior of carbon nanotubes. This unique intersection of AI and geophysics not only showcases his technical prowess but also highlights his commitment to pushing the boundaries of what is possible in applied science. Additionally, he has pioneered the use of retrieval-augmented generation (RAG) techniques to condense extensive documents—over 30 pages—into succinct summaries, thereby streamlining information processing for clients.
His diverse skill set encompasses computer vision, signal processing, and data mining, complemented by strong software engineering capabilities. Henrique is adept at utilizing tools like Git and Visual Studio, and he is proficient in LaTeX for technical documentation. As a leader in training facilitation, he is dedicated to empowering teams and fostering a culture of continuous learning within the organization. With a passion for innovation and a deep understanding of AI technologies, Henrique Dantas is poised to make significant contributions to the future of applied data science at Microsoft and beyond.
