profile sourced from GitHub
Scouting report
ML-curious CS student — skin-disease image classifier with transformers
assessed from open-source footprint
Pablo is a polyglot CS student (Python, Go, Rust, C#) with the highest originality in his group (94) and a healthy 21% abandonment: 'Derma-UH-Challenge' is a skin-image classification project for disease detection built with transformers, alongside competitive-programming references. Stars are near-zero and impact is low (36), so the signal is breadth and a real data/ML interest rather than shipped products — a promising junior data/ML or backend hire.
Authorship & open source
Contributes to
- CfM47/ML-Project0★
What they build
Industry experience
- Data, ML & AI
- Developer Tools
- Education & EdTech
Signal breakdown
3
top repo 1
29
9% forks
15
3.4 yr
4
Active
21% stale
Strengths
- Verified author — wrote 100% of commits on Team-Ref
- 112 merged pull requests
- Original builder — 29 of their own repositories
- Ships to production — 4 live demos
- Consistently active, low abandonment
- Backend focus with Data / ML
- Domain experience in Data, ML & AI & Developer Tools
About
Skills
- Python
- Jupyter
- TypeScript
- JavaScript
- C#
- C++
- Go
- Rust
Featured work
Team Ref
cp
- C++
by Pablo Gómez
Derma UH Challenge
proyecto de clasificación de imágenes de la piel para la detección de enfermedades, implementado utilizando transformers.
- Jupyter
by Pablo Gómez
Project ZebRag
Chatbot running with a local LLM (Phi3) using Ollama and with RAG implementation
- Code
by Pablo Gómez
Distributed Talent Nest
A Distributed Social Network based on Linkedin
- Go
by Pablo Gómez
Frontend Talent Nest
React-based Frontend
- TypeScript
by Pablo Gómez
HULK Compiler
Un compilador RUSTico🦀
- Rust
by Pablo Gómez