mobile-networks

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Python-based roaming billing CDR validation lab for mock TAP-style records, reconciliation checks, issue detection, and technical test reporting.

End-to-end data science project on a synthetic 5G/LTE Radio Access Network dataset — covering data quality validation, KPI engineering, exploratory analysis, and machine learning.

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Black Swan Gargoyle for Android (Telemetry of the Mobile Terminal)

Code and commune-level data relating mobile digital-service consumption to political alignment across the 2019 and 2024 European elections in France (IMC 2026)

A concept for turning carrier networks into distributed edge intelligence infrastructure. White paper on AI-RAN, cooperative perception, and network-native AI services, covering architecture, data rights, and governance. CC BY 4.0.

Interactive web-based calculator for solving and visualizing key wireless communication and mobile network problems using HTML, CSS, and JavaScript.

Repository containing all the codes developed and used during my final master's degree thesis (TFM).

Network congestion control algorithms to maximize the "power" (throughput/latency) in an emulated mobile network (PT-BR).

Experimental Python library for cellular infrastructure inference using OpenCellID, without GPS.

Intucell — independent third-party profile of a public API surface, by API Evangelist. Intucell was an Israeli self-optimizing network (SON) software company headquartered in Ra'anana, Israel, whose platform let mobile carriers automatically plan, configure, manage, optimize and heal cellular radio access networks in real time as network demand cha

Guide about Open Policy Agent

Wireless transport protocol implementation for a Wireless & Mobile Networks course, with experiments on throughput, latency, loss, and reliability.

NextMN testbed

An Operations & Maintenance (O&M) module for 4G/5G core testbeds.

CNN-based crop disease detector for leaf images across 4 crops and 8 classes (Apple, Corn, Potato, Tomato — healthy vs. specific diseases). MobileNetV2 transfer learning with a from-scratch CNN fallback; ~80% val accuracy on a balanced PlantVillage subset. FastAPI inference API + Next.js frontend with drag-and-drop upload and confidence bars.

5G Lab Deploy Scripts: Open5GS 5GC & srsRAN with ZeroMQ

Nokia — independent third-party profile of a public API surface, by API Evangelist. Nokia (Nokia Oyj) is a Finnish multinational telecommunications, information technology, and consumer electronics corporation headquartered in Espoo, Finland. Nokia is a leading vendor of carrier-grade network equipment for communication service providers (CSPs), we

QMC — independent third-party profile of a public API surface, by API Evangelist. QMC Telecom is a provider of shared telecommunications infrastructure for mobile networks, operating across Brazil, Mexico, Colombia, Peru, and Chile. The company develops, owns, operates, and leases indoor connectivity solutions, street-level solutions (SLS), and tow