profile sourced from GitHub
Scouting report
Wireless-comms ML researcher — 5G LDPC transformer decoder
assessed from open-source footprint
Mario's real signal is research-grade ML: a 5G Decoder (9★) reimplementing transformer-based LDPC channel decoding on Sionna, plus a V2V SDR networking testbed in MATLAB. This is serious signal-processing/ML work uncommon in a marketplace, anchored to his UPR email. Light on deployment (1) and team-scale traction, but a strong fit for ML, DSP, or wireless-research roles.
Authorship & open source
What they build
Industry experience
- Media & Streaming
- Web & CMS
- Data, ML & AI
Signal breakdown
15
top repo 9
24
25% forks
7
4.1 yr
1
Active
42% stale
Strengths
- Verified author — wrote 100% of commits on V2V-SDR-Networking-Testbed
- Original builder — 24 of their own repositories
- Data / ML focus with Backend
- Domain experience in Media & Streaming & Web & CMS
- Core stack: Python, Jupyter, MATLAB, PureBasic
About
Skills
- Python
- Jupyter
- MATLAB
- PureBasic
- Github Config
Featured work
5G Decoder
Implementation of the linear transformer-based decoder experiments from 5G LDPC Linear Transformer for Channel Decoding using the Sionna link-level s…
- Jupyter
by Mario Hernandez
V2V SDR Networking Testbed
The goal of this project is creating a testbed to facilitate the development with Adalm-Pluto SDRs for wireless communication, by providing Matlab PH…
- MATLAB
by Mario Hernandez
Transformer Name Generator
Practice implementation of transformer neural network structure
- Python
by Mario Hernandez
UFC NN
Project to get UFC figher and fights data, use Elo Ranking Algorithm on them.
- Python
by Mario Hernandez
Error Bit Decoding
Repo containing investigation documents
- Jupyter
by Mario Hernandez
Market Simulator
A python implementation of a simple market
- Code
by Mario Hernandez