profile sourced from GitHub
Scouting report
Puerto Rican ML engineer with deep-learning research repos, now dormant
assessed from open-source footprint
Julian Cuevas is a UPRM software-engineering grad with the strongest originality signal in this batch: 18 fully original repos and real depth in deep learning, including CapsNet interpretability research on protein structures, GAN implementations, and the CAAMBus campus transit webapp (and a v2 rewrite). The catch is recency: zero commits in the past year and essentially every repo now abandoned. Genuinely capable ML/backend work, but the portfolio is dormant rather than active.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Media & Streaming
- Health & Wellness
Signal breakdown
4
top repo 1
18
0% forks
1
9.8 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on GANs_Stress-Strain
- Original builder — 18 of their own repositories
- Data / ML focus with Backend
- Domain experience in Education & EdTech & Media & Streaming
- Core stack: Python, Jupyter, Java
About
Skills
- Python
- Jupyter
- Java
Featured work
CAAMBus
Simple webapp for a bus trolley administration system for the University of Puerto Rico at Mayagüez
- Python
by Julian Cuevas
CapsNet Interpretability
Repository for research into interpretability methods for the Capsule Networks architecture applied to protein structure classification.
- Python
by Julian Cuevas
Gans Playground
Working implementations of different GANs (Regular and WGAN-GP).
- Python
by Julian Cuevas
CAAMBus V2
Reworked CAAMBus app. Much better. Completely different from original.
- Python
by Julian Cuevas
Quotable
Simple webapp using PostgreSQL, Flask and Bootstrap for storing and sharing quotes.
- Python
by Julian Cuevas
Simple UDP Client Server
Simple client-server two-layer communication system with simulated package loss and duplication, and a simplex Stop-and-Wait protocol..
- Jupyter
by Julian Cuevas