profile sourced from GitHub
Scouting report
Cuban CS PhD student building Python information-retrieval and recommendation engines
assessed from open-source footprint
Havana-based backend and ML developer with 8 original Python/Jupyter repos, leaning into data and retrieval work. Named projects like IRAM (a text information-retrieval system) and a graph-based recipe recommendation engine reflect a genuine academic focus. Evidence is early-stage: no stars, no followers traction yet, and a high abandoned-repo ratio (0.63), so this reads as a researcher's exploratory portfolio rather than maintained production software.
Authorship & open source
Contributes to
- m-aleem/go-concurrency-encoding0★
What they build
Industry experience
- Data, ML & AI
- Productivity & SaaS
Signal breakdown
0
8
38% forks
13
6.2 yr
0
Active
63% stale
Strengths
- Verified author — wrote 100% of commits on todo-genius
- 58 merged pull requests
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & Productivity & SaaS
- Core stack: Python, Jupyter, Dart, Go
About
Skills
- Python
- Jupyter
- Dart
- Go
- F#
Featured work
iram
A simple information retrieval system for text documents: IRAM (Information Retrieval Andres-Manuel)
- Python
by Manuel Vilas Valiente
Recipes Engine
Un engine para recomendar recetas basado en grafos
- Python
by Manuel Vilas Valiente
chord
Chord DHT
- Go
by Manuel Vilas Valiente
LP G2 E2
Seminario 1 del Equipo 2 del Segundo Grupo
- F#
by Manuel Vilas Valiente