Felipe Fagundes is a distinguished Staff Software Engineer and tech lead with approximately 12 years of experience in designing and building scalable software systems, data-intensive applications, and machine learning solutions. Currently based in São Paulo, Brazil, he has a proven track record of tackling complex technical challenges and delivering high-impact projects. Felipe is proficient in languages like Python and Java, and has extensive experience with cloud platforms (like GCP, AWS), distributed systems, and MLOps. He is passionate about fostering innovation, mentoring engineers, and applying cutting-edge technology to solve real-world problems. His work often involves leading cross-functional teams to develop robust and efficient software, with a focus on areas like financial technology and large-scale data processing.
Felipe Fagundes's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Architected and led the development of a critical new financial processing platform, significantly improving transaction throughput, scalability, and reliability for a major fintech company.
Played a pivotal role in designing and implementing robust MLOps infrastructure, enabling faster model deployment cycles and improving the reliability of machine learning services in production.
Frequently shares knowledge through technical talks at industry conferences and internal company events, and actively mentors junior and mid-level engineers, fostering a culture of growth and technical excellence.
Columbia University
Claremont McKenna College
Graded - The American School of São Paulo
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