Roberto C. Aleman, Originally from Maracaibo, Venezuela is a 52-year-old computer engineer with over 20 years of experience.
For years he has conducted research on data types, file formats, data access strategies, search algorithms, encryption, and their implementations.
In the field of object-oriented programming and collaboration with the open-source software community, he has been contributing work since 2009 to phpclasses.org, a long-established PHP language repository with over 2 million registered users.
He has been nominated for the PHP Innovation Award on several occasions and has won it multiple times.
Recently, in 2025, he was chosen as the user with the highest score for submitting innovative work on the website phpclasses.org.
Likewise, his work published on GitHub focuses on search algorithms and logical entropy-based encryption, such as the proposal
Logical Entropy Cypher v1.0, which improves upon AES-256-GCM, and the RA Ultimate- Cipher Analyzer tool, which allows users to evaluate the type of encryption used in a file.
Some of their work focuses on training artificial intelligence under human supervision, as is the case with phpicsla, while RA_ZipTextSearcher allows searches within compressed files, and RA-Anomaly-detector-GMM is an anomaly detector in encrypted strings based on the Gaussian Mixture Model.
Many of these works have served as the basis for the PON-DB engine and the foundations of its innovative technology.
In recent years, their interest has focused on putting into practice the principles of data-centric computing and zero-dba,zero-trust, zero-abstraction and zero-dependencies, which has been consolidated with their development of the PON-DB Engine where the .pon file format is the center of the computational process, with the PON-DB Engine being the generator of .pon files according to the underlying protocol and the PON-Reader being the parser that reads .pon files as an interpreter of the respective format.