Luiz Felipe Medeiros

30% improvement in mechanical engineer efficiency, driven by the creation of a calculation automation tool compliant with technical standards, freeing up time for higher value-added activities. Increased regulatory compliance in mechanical engineering projects, ensured by the integration of custom software that automates calculations and validations according to industry-specific standards. Successful implementation of digital engineering solutions that positively impacted team productivity through the automation of calculation-intensive processes and the standardization of deliverables.

Acted in the structural integrity and reliability management of oil pipelines for a Petrobras partnership project. • Evaluated mechanical integrity and calculated the remaining useful life of pipelines by processing instrumented pigging (PIG) data and corrosion rates, applying industry standards such as ASME FFS-1, API 580/581, and DNV. • Developed predictive models based on Deep Learning (Multi-Layer Perceptron in Python) to estimate wall thickness loss over time, optimizing predictive maintenance routines and preventing critical operational downtime. • Architected and developed scalable software (React and Next.js) to democratize reliability data, implementing CI/CD pipelines to ensure automation, efficiency, and precision in engineering decision-making. • Co-authored the technical paper "Structural Integrity Analysis of Pipelines Using Artificial Intelligence," published at the 28th International Congress of Mechanical Engineering (COBEM 2025), validating the application of AI in industrial asset integrity.

As a Junior Developer, I operate across the full digital product delivery cycle, ensuring synergy between technical implementation and strategic business objectives. My core responsibilities include: Front-end Development: Implementation of high-performance Landing Pages (LPs) using technologies such as React and Next.js, with a strong focus on Web Performance and Conversion Rate Optimization (CRO). Product Ownership (PO): Technical leadership in requirements refinement, backlog prioritization, and ensuring the quality of deliverables within established deadlines. Project Management: Task orchestration and stakeholder alignment, applying agile methodologies to maintain development cadence. Growth Strategy: Execution and monitoring of paid traffic campaigns, integrating conversion data analysis to drive the continuous improvement of the developed solutions.

Translated complex mathematical and classical mechanics concepts into accessible knowledge for students, actively developing their logical reasoning and analytical skills. Planned lessons and created educational materials focused on practical problem-solving, connecting theoretical physics with real-world and engineering applications. Monitored student performance to identify learning bottlenecks, adapting teaching methodologies to ensure continuous academic progress. Applied classroom management and clear communication to maintain engagement, demonstrating highly transferable skills in team facilitation and the communication of complex technical data in corporate environments.

Automated 90% of data collection using an Arduino-based digital tachometer for precise rotational speed monitoring, optimizing mechanical component testing. Improved signal analysis accuracy by 30% by developing low-pass filters in MATLAB for Pitot tube data processing, crucial for engineering project development. Increased system performance analysis capacity by applying signal processing techniques, fundamental for the continuous improvement of mechanical designs.