Marcelo is a Senior Developer with solid knowledge of Python - its models, frameworks, libraries, packages and APIs. He is fluent in C/C++, Fortran, Big Data and Google Cloud Platform. He designs and develops new end-to-end solutions on projects with minimal supervision - building reusable and maintainable to improve code functionality and reliability.
Creating and developing innovative software solutions for clients across a broad range of industries.
Participate in scrums consisting of cross-functional teams, both software and hardware.
Ensure that features are being delivered efficiently and on-time.
Write custom code to interface with data stores, architect data systems, build data models and deploy pipelines on the project.
Identify, design, and implement improvements to Seara's data infrastructure - automating and optimizing data delivery.
Assist with data-related technical issues on the project by investigating Pyhton production code for inefficiencies.
Designed, built, and maintained scalable data solutions for the acquisition, classification and processing of data.
Communicated with multiple departments and stakeholders to review business requirements and propose solutions.
Identified and resolved data quality issues - maintaining data integrity and quality of delivered solutions.
Developed a computational tool dedicated to the construction of surrogate models for submerged structures (sponsored by Petrobras).
Implemented a parallel and mesh-adaptive radiation model in FORTRAN. Performed computational analysis of three-dimensional radiative flows.
Developed and implemented a C++/Fortran interface for the communication between a CFD code (FORTRAN) and Cantera library (C++).
Implemented parallel and mesh-adaptive concentrations transport equations to study multiple species flows (inert and reactive).
Managed the coupling and implementation of HDF5 library for storing and managing, in a more efficient way, I/O for high volume and complex data.
Performed computational analysis of three-dimensional turbulent flows.
The project involved the development of a computational tool dedicated to the construction of surrogate models for submerged structures (sponsored by Petrobras). Developed and implemented scripts to automate the generation of different strake geometries Mesh generation using Ansys-ICEM. Performed computational analysis of three-dimensional turbulent flows on risers with different strake models. Performance analysis of different surrogate models in predicting the dynamic behavior of submerged structures using a Python environment.
The project involved the development of a turbulent flow combustion modeling based on the Eulerian / Lagrangian technique and immersed boundary methodology (sponsored by Petrobras). Developed and implemented a C++/Fortran interface for the communication between a CFD code (FORTRAN) and the Cantera library (C++). Implemented several parallel and mesh-adaptive combustion models. Performed computational analysis of three-dimensional reactive flows, as well as code maintenance/source code control (Git).
