| Email: prof.fernando.luz@gmail.com |
| LinkedIn: https://www.linkedin.com/in/f-luz/ |
| GitHub: https://github.com/fluz |
| Twitter: https://twitter.com/f_luz |
| Hackerrank: https://www.hackerrank.com/fernando_luz |
Engineering Manager & Technical Leader with 18+ years delivering scalable solutions, building high-performance teams, and driving impactful change across technology, research, and education. I specialize in leading teams to deliver robust microservices architectures, backend systems, and cloud solutions, consistently achieving measurable outcomes—such as reducing project timelines, increasing code coverage, and optimizing system performance.
My leadership combines technical depth with a passion for mentoring, collaboration, and continuous improvement. I have managed and coached teams of 10+ engineers, instituted Agile, TDD, and CI/CD best practices, and delivered high-impact products in fast-paced environments. Whether launching new products, migrating legacy systems, or building QA frameworks, I deliver results that exceed expectations and foster a culture of excellence.
Support the migration of AUTODOC Search and Discovery Domain into a scalable and efficient microservices architecture with the following responsibilities:
Achievements / Tasks:
Managed and mentored a team of 10+ engineers, delivering high-impact products including Healthcare Experience Cloud, Automated Notifications, and Agent Flows. Oversaw the QA team and established a robust E2E testing framework, ensuring product quality and reliability. Drove integration of healthcare call centers for improved patient interactions, implemented automated communication solutions, and empowered support agents with guided workflows. Consistently delivered projects on schedule, optimized team performance, and fostered a culture of excellence.
Achievements / Tasks:
Built and launched a new banking financial services solution from the ground up, utilizing Kotlin, SpringBoot, React, Redis, PostgreSQL, MongoDB, and RabbitMQ. Led the release of Visual IVR for Financial Services, developed an in-house frontend solution, and presented technical sessions to upskill the team in modern technologies and best practices.
Achievements / Tasks:
Led the Portugal team in the ASML lithography machine project, expanding unit test coverage with a gtest-based framework and implementing advanced design patterns in robotics. Delivered the RYUN robot component with 100% code coverage, managed complex migrations, and identified critical gaps in legacy autotesting. Co-founded the Altran PT Meetup group to foster technical knowledge sharing.
Achievements / Tasks:
Led the development of new features for the Technomar Maritime Simulator, driving innovation in training technology. Initiated certification with DNV GL, contributed to hydrodynamic model improvements, and championed best practices in Scrum, TDD, and Git. Mentored the team to elevate technical skills and project delivery.
Achievements / Tasks:
Developed high-performance computing applications in C++/C, Python, and MPI for the TPN laboratory, optimizing parallel execution and integrating advanced numerical models. Led testing, optimization, and parallel improvements, and contributed to SMH, a finalist for the 2016 ANP Prize Award for Technological Innovation.
Achievements / Tasks:
Delivered lectures, managed laboratory activities, and mentored students in computer science and engineering topics. Led exam preparation, grading, and curriculum development, fostering student growth and academic excellence.
Achievements / Tasks:
University: University of São Paulo (USP) Institute: Polytechnic School Theme: Methodology for the execution of parallel applications based on BSP model with heterogeneous tasks
University: University of São Paulo (USP) Institute: Physics Institute of São Carlos Theme: Implementation of the MILC package in the study of full QCD
University: University of São Paulo (USP) Institute: Physics Institute of São Carlos
Load: 20h Certificate: Professional Scrum Master
Load: 300h Certificate: Responsive Web Design
Load: 300h Certificate: JavaScript Algorithms and Data Structures
Load: 400h Certificate: Scientific Computing with Python