Pablo Fonseca is a seasoned software engineer and architect with over 12 years building high-performance Linux-based systems across x86, ARM and MIPS platforms. He has led design and implementation of large-scale, high-availability solutions for telecommunications, electronic ticketing and public-sector data projects, including an orchestration system that processes billions of Brazilian public health records. Pablo combines low-level C/C++ and driver adaptation experience with Java EE, Spring and modern cloud-native stacks, and has delivered image-compression servers, FPGA-accelerated ML orchestration and ISO 8583-based payment authorization systems. He routinely bridges research and production—applying data mining and ML (Sklearn, Scala, Python) to solve real operational problems—and has implemented performance-critical components using CUDA, OpenCL and OpenVINO. Comfortable both as a hands-on developer and technical leader, he often architects cross-language, distributed solutions and contributes pragmatic patches to adapt drivers and libraries. Based in Minas Gerais, Brazil, he brings a rare mix of embedded/Linux depth and scalable backend engineering to complex, latency-sensitive systems.
12 years of coding experience
15 years of employment as a software developer
Master of Science - MS, Data Mining, Master of Science - MS, Data Mining at Universidade Federal de Minas Gerais
Code to convert from dbc to dbf - Based on blast by Mark Adler <madler@alumni.caltech.edu> Decompressor for output of PKWare Data Compression Library (DCL)
Contributions:1 review, 8 commits, 5 PRs in 1 year 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.