| 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 with 18+ years of experience leading platform transformations and scaling engineering organizations in high-complexity environments.
I operate at the intersection of architecture and execution: leading teams through system migrations (monolith to microservices), improving delivery predictability, and raising engineering quality standards at scale.
My focus is turning engineering effort into business impact: reducing latency, increasing delivery speed, and enabling teams to operate with greater ownership and autonomy.
Background across distributed systems, backend platforms, and high-performance computing allows me to navigate from deep technical decisions to organizational outcomes, consistently improving scalability, reliability, and execution confidence.
Leading the PDP (Product Detail Page) team through a transition from monolithic architecture to an event-driven microservices ecosystem, owning technical direction and execution for a high-traffic platform.
Driving architectural decisions, delivery practices, and operational standards to enable scalable system evolution, clearer ownership boundaries, and faster, more reliable deployments across several teams.
Selected outcomes:
Owned delivery and execution across a multi-product portfolio, aligning engineering efforts with customer value and operational reliability.
Led three teams (10+ engineers), evolving team structure, ownership models, and execution practices to improve autonomy, alignment, and delivery throughput.
Drove organizational improvements in quality, cross-team collaboration, and release readiness to enable more predictable and scalable delivery.
Selected outcomes:
Owned end-to-end delivery of the first production-ready Financial Services platform, contributing to initial market entry and establishing the technical foundation for future expansion.
Selected outcomes:
Delivered critical software components for the next-generation ASML lithography platform in a high-reliability environment, balancing feature delivery with testability and long-term maintainability.
Led the Portugal team in expanding unit testing with a gtest-based framework, improved a robotics component through a robust Variant Pattern, and helped strengthen engineering culture by co-founding an internal Meetup group in Capgemini PT.
Selected outcomes:
Led a team of 6 Individual Contributors responsible for simulator delivery and operational stability for the Technomar Maritime Simulator, balancing product commitments with reliability and execution discipline.
Raised engineering maturity by introducing Scrum, Test-Driven Development, and Git, and by coaching the team toward stronger execution and code quality.
Also initiated the certification plan with DNV GL agency and contributed technically to the core hydrodynamic numerical model where that involvement improved simulator fidelity and performance.
Selected outcomes:
Developed and optimized High-Performance Computing applications in the TPN laboratory using C++/C, Python, MPI/sockets, and bash on Linux and Windows.
Combined research, performance engineering, testing practices, and system integration to improve scalability and reliability, and contributed to the creation of SMH, a finalist for the 2016 ANP Prize Award for Technological Innovation.
Selected outcomes:
Graduate-level teaching and course execution across software engineering and computing topics, combining lectures, labs, assessments, and student mentoring.
Supported hands-on learning through technical projects and clear evaluation criteria, helping students build practical understanding of software development.
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