Salvador Fandiño is a seasoned technology leader and CTO with 23 years of experience building scalable systems, leading ML teams, and translating business needs into robust technical solutions from Madrid. He blends deep mathematical and engineering training with hands-on software and systems expertise—ranging from VDI architectures at Qindel to founding and consulting roles early in his career. As a pragmatic manager he pairs client-facing leadership with coding and model-building, most recently guiding PredictLand AI and now Apolo AI. An active open-source contributor, he has improved core back-end libraries such as libssh2 and tooling like app-perlbrew, addressing subtle flows, compression, and cross-platform build issues. Known for finding the right solution to hard problems, he brings a rare mix of systems-level thinking and practical implementation detail.
23 years of coding experience
27 years of employment as a software developer
Colegio Santa María del Mar
Master of Engineering - MEng, Industrial Engineering, Master of Engineering - MEng, Industrial Engineering at University of Navarra
BS, Electrical Engineer, BS, Electrical Engineer at Universidad de Navarra
Master, Telemática, Master, Telemática at Universidad de A Coruna
Contributions:14 commits, 10 PRs, 47 comments in 2 years 7 months
Contributions summary:Salvador primarily focused on improving the flow control and window handling mechanisms within the libssh2 library. They addressed issues related to data truncation, window size management, and potential data loss in non-blocking mode, making changes in `src/packet.c`, `src/channel.c` and `src/libssh2_priv.h`. Moreover, the user fixed zlib usage issues related to decompression and compression, optimizing buffer handling and addressing potential data corruption problems. They also enhanced the knownhosts functionality by handling unknown key types to improve compatibility.
Contributions summary:Salvador primarily contributed to the `app-perlbrew` repository, which manages Perl installations. Their work included implementing new features, such as support for predefined compilation flavors and the `install-multiple` command. They refactored existing code to improve consistency and added support for the "clang" compiler. They also corrected version parsing and updated logic for 64-bit platform detection and added options for configuring build processes.
installationsperl
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Salvador Fandiño - Chief Technology Officer at Apolo AI