profile sourced from GitHub
Scouting report
Cuban ML student — deep-learning fMRI autism classifier
assessed from open-source footprint
Darián's most distinctive work is dnn-for-asd-diagnosis, a deep neural network classifying autism from resting-state fMRI functional-connectivity features — a non-trivial applied-ML project in Jupyter/Python. The footprint is small (4 original repos, 0 stars, 9 commits last year), and the topExternal entry on midudev/alg0.dev shows 0 commits, so that's a watch, not a contribution. A focused data/ML learner worth a look for research-adjacent teams, with real experience still to be proven.
Authorship & open source
Contributes to
- midudev/alg0.dev170★
What they build
Industry experience
- Data, ML & AI
Signal breakdown
0
4
43% forks
46
6.1 yr
0
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on nestjs-mini-projects
- Consistently active, low abandonment
- Data / ML focus with Backend
- Domain experience in Data, ML & AI
- Core stack: TypeScript, Jupyter, Python
About
Skills
- TypeScript
- Jupyter
- Python
Featured work
Dcq 31
👨💻 My Github Profile
- Code
by Darián Capote Quintana
Dnn For Asd Diagnosis
A deep neural network for ASD classification using functional connectivity features derived from resting-state fMRI data
- Jupyter
by Darián Capote Quintana
Basic SMRI And FMRI Preprocessing
A basic Python pipeline for preprocessing resting-state fMRI and structural MRI data using FSL
- Python
by Darián Capote Quintana