Why a Java Backend Developer Is Building a 6G + AI Dashboard (and Fixing Bugs in NVIDIA Sionna)
Most of my posts so far were about Java libraries. This one is about a different side of my work: a 6G project, and why a backend developer ended up in wireless research. Why 6G? I started my career as a network engineer, so wireless and networks always interested me. Later I moved into Java backend work at Wipro. I wanted a project that joins both sides: serious backend engineering on top of…
A Java backend developer from Wipro has created a 6G + AI dashboard, addressing the need for better visualization and sharing of results in NVIDIA Sionna. Sionna Visualizer, the project, combines serious backend engineering with real telecom research. The open-source library Sionna simulates 6G wireless systems, but its usual workflow involves writing Python scripts, drawing matplotlib charts by hand, and emailing CSV files to share results.
Sionna Visualizer is a full-stack web dashboard built on top of Sionna, offering an interactive way to work with simulation results. Users can run a simulation directly from the browser and see interactive charts, export them, and share any result with just one link. The dashboard supports simulations such as AWGN bit error rate, beam patterns, channel capacity, and path loss, using 3GPP channel models (CDL/TDL).
Additionally, it provides a publication pipeline with journal-style figure export, LaTeX parameter tables, and a reproducibility package. Each simulation can be shared via a link, and a saved history with run metadata is maintained.
One unique feature is the ability to compare results from different simulators by uploading CSV files. Users can also utilize a natural language simulation feature, where they describe a run in plain English, and the Claude API translates it into parameters, allowing the app to run the simulation.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
