Developer Profile

Abdulwaarith Zakariyya

@abdulwaarith0

Doha, Qatar

GitHub

Impact Score Overview

Developer Impact & Statistics

Final Score

38 / 100Raw: 279.00

Repository Score

11 / 100Raw: 12.00

PR Score

67 / 100Raw: 599.00

Contribution Score

29 / 100Raw: 40.00

Score Weight Distribution

finalScore = repoScore * 0.45 + prScore * 0.45 + contributionScore * 0.10

Repository Score (45%)2% of final signal

Pull Request Score (45%)97% of final signal

Contribution Score (10%)1% of final signal

Top Work

Top Work & Highlights

Top Repositories

Most impactful repositories and pull requests

#1Github-Finder

stars2

forks0

watchers1

JavaScript74%HTML26%

Score

#2test-frontend

stars1

forks0

watchers1

TypeScript95%JavaScript3%HTML2%

Score

#3test-server

stars1

forks0

watchers1

TypeScript100%

Score

Top Pull Requests

Most impactful repositories and pull requests

#1fix(data): read nested tool calls, and stop soup train on zero training rows (#1217)

in MakazhanAlpamys/Soup

stars on the PR repository7681

+962/-75

Python98%Jupyter Notebook1%

Score

#2fix(data): write canaries in the dataset's own format (#1216)

in MakazhanAlpamys/Soup

stars on the PR repository7681

+501/-18

Python98%Jupyter Notebook1%

Score

#3fix(trainer): wire LoRA+ into the remaining thirteen trainers (#745)

in MakazhanAlpamys/Soup

stars on the PR repository7681

+1523/-66

Python98%Jupyter Notebook1%

Score

Community Contributions

Most impactful public issues and discussions

#1Issue

LoRA+ (loraplus_lr_ratio) is silently ignored by the preference and RL trainers

MakazhanAlpamys/Soup

stars7681

comments13

Score

#2Issue

`soup data clean --repair-json` / `--drop-invalid-json` miss nested tool calls and misread the documented `function` call shape, dropping valid rows

MakazhanAlpamys/Soup

stars7681

comments3

Score

#3Issue

`soup data validate` green-lights rows that `load_dataset` drops — validator never runs the converters

MakazhanAlpamys/Soup

stars7681

comments3

Score

Scoring Transparency

▼

Repositories analyzed

Pull requests analyzed

Merged external PRs counted

Own-repo PRs ignored

Unmerged PRs ignored

Unique external repositories

Issues analyzed

External issues counted

Discussions analyzed

External discussions counted

How this score was calculated

View the full scoring methodology with formulas, penalties, and step-by-step flow.

View full methodology