Developer Profile

Hyeongchan Kim

@kozistr

South Korea, Seoul

GitHub

Impact Score Overview

Developer Impact & Statistics

Final Score

63 / 100Raw: 552.00

Repository Score

58 / 100Raw: 136.00

PR Score

78 / 100Raw: 1086.00

Contribution Score

17 / 100Raw: 21.00

Score Weight Distribution

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

Repository Score (45%)11% of final signal

Pull Request Score (45%)89% of final signal

Contribution Score (10%)0% of final signal

Top Work

Top Work & Highlights

Top Repositories

Most impactful repositories and pull requests

#1pytorch_optimizer

stars427

forks43

Python 10000%

Score

#2Awesome-GANs

stars758

forks164

Python 10000%

Score

#3candle-moe

stars14

forks2

Cuda 8000%Rust 2000%

Score

Top Pull Requests

Most impactful repositories and pull requests

#1Support MRL (Matryoshka Representation Learning)

in huggingface/text-embeddings-inference

stars on the PR repository5040

+628/-3929

Rust 8800%Python 1100%JavaScript 100%

Score

#2Support Qwen3 w/ fp32 on GPU

in huggingface/text-embeddings-inference

stars on the PR repository5040

+135/-63

Rust 8800%Python 1100%JavaScript 100%

Score

#3Implement GTE model to support the non-flash-attn version

in huggingface/text-embeddings-inference

stars on the PR repository5040

+570/-131

Rust 8800%Python 1100%JavaScript 100%

Score

Community Contributions

comments

#1Issue

bug/`get_elements_from_api()` got `file type None is not supported` error in `>=0.11.4`

Unstructured-IO/unstructured

stars15389

comments6

Score

#2Issue

[BUG] GPU inference output may be overwritten by subsequent input data

rapidsai/rapids-triton

stars7

comments2

Score

#3Issue

Classification Models

Data-Competition/Super-Mario

stars3

comments1

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