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#51 — Top 95.8%

Ekin-Kahraman

Ekin Kahraman

B

Solid engineer

Overall

0.0

/ 100

01 · Roasts

Zero-to-PyPI in 5 Months

Account created January 2026, already shipping rustscenic on PyPI with a Zenodo DOI and benchmarks. Either you're overclocked or this is a very elaborate fake-it-till-you-make-it arc — either way, the receipts are there.

105 PRs, 0 Issues

You filed 105 pull requests this year and opened exactly zero issues. You apparently never found a bug worth reporting — or you just fix everything silently and move on like a ghost.

Heatmap Says 'I Just Got Here'

Weeks 1–42 of your heatmap are a barren tundra of zeros. All 655 commits are crammed into the last 10 weeks. Consistency is a vibe, not just a volume stat.

98% Solo, 0% Followers

soloPct = 98 and 11 followers: you're shipping Rust bioinformatics tools into the void. The code is real; the audience is theoretical. Consider touching grass on the social layer of GitHub.

Coursework Dilution

Two repos (statistical-power and random-forests-week11) are homework. One is literally a single .qmd file. Submitting coursework to a portfolio GitHub is like padding a CV with 'Microsoft Word: proficient.'

Built using

Zoral

Shadows one worker for a week, then takes over their job with zero extra setup. Behaves exactly like the original.

zoral.ai

02 · Category breakdown

  • Impact
    25% weight
    68C
  • Consistency
    20% weight
    65C
  • Quality
    20% weight
    72B
  • Depth
    15% weight
    65C
  • Breadth
    10% weight
    80A
  • Community
    10% weight
    55D

03 · Stats

365-day commit heatmap

59 active days

Less
More

Language distribution

6 langs
  • Python57%
  • TypeScript16%
  • Rust13%
  • R8%
  • Shell5%
  • Nextflow1%

04 · Numbers

Owned repos

non-fork

10

Commits

last 12 months

655

Followers

11

Joined GitHub

Jan 2026

05 · Top repos

Ekin-Kahraman /

rustscenic

65/100

Rust-based SCENIC+ replacement achieving 11–52× speedup on regulatory network analysis. Ships as typed Python package with comprehensive GRN, AUCell, topics, and enhancer-linking modules; strong test coverage and CI/CD; documented and validated on real multiome data.

I55Q75D65
READMETestsCI
Python1011d ago

Ekin-Kahraman /

Ekin-Kahraman

63/100

Portfolio README of a bioinformatics engineer showcasing multiple published projects (RustScenic on PyPI with Zenodo DOI, Nextflow pipelines, clinical prototypes). Has CI in main project, documented real-data validation and performance benchmarks, but this repo itself is a metadata hub with no substantive code.

I65Q70D55
READMECI
Python011d ago

Ekin-Kahraman /

safetynett

58/100

AI-powered clinical safety netting prototype built for OpenClaw Hackathon. Typed TypeScript/React with full-stack feature set (auth, Supabase backend, red flag detection, auto-escalation), tests, CI/CD, and embedded clinical data covering 39 conditions across 9 specialties. Designed for NHS adoption but undeployed/pre-

I55Q70D50
READMETestsCITyped
TypeScript118d ago

Ekin-Kahraman /

single-cell-rnaseq-immune-profiling

58/100

Production-grade single-cell RNA-seq pipeline with full CI/test coverage, comprehensive documentation (README + design.md + ARCHITECTURE.md), typed Python 3.10+, multi-resolution clustering, and SHA-256 validated outputs.

I40Q75D60
READMETestsCI
Python018d ago

Ekin-Kahraman /

rustscenic-airway-case

58/100

Validation case study for RustScenic on published airway atlas (58 donors, 32k cells); demonstrates head-to-head parity with pySCENIC (0.984 per-cell Pearson) and 27× AUCell speedup, plus COVID differential regulon biology extending prior deconvolution work.

I55Q70D50
READMECI
Python118d ago

Ekin-Kahraman /

bulk-rnaseq-differential-expression

55/100

Reproducible bulk RNA-seq pipeline for SARS-CoV-2 analysis: typed R code with DESeq2, pathway enrichment, CI/tests, extensive documentation (README, design.md, ARCHITECTURE.md), 12-step workflow with sensitivity/viral-load/sex-interaction analyses on GEO dataset (GSE152075, n=484 → n=60 balanced). 81 MB codebase, 30 co

I40Q72D55
READMETestsCI
R118d ago

Ekin-Kahraman /

covid-airway-deconvolution

52/100

Research-grade COVID-19 airway cell type deconvolution using PyTorch ensemble on tissue-matched scRNA-seq reference. Well-documented with validation, tests, and CI; achieves r=0.954 on synthetic data but limited external adoption.

I25Q72D58
READMETestsCI
Python018d ago

Ekin-Kahraman /

rnaseq-nextflow-pipeline

48/100

Personal bioinformatics pipeline project: well-documented Nextflow DSL2 RNA-seq workflow with containerised FastQC, fastp, HISAT2, featureCounts, DESeq2, MultiQC steps, full CI, tests, and FastAPI report portal. Very recent (Apr 2026) and experimental.

I25Q70D50
READMETestsCI
Python018d ago

Ekin-Kahraman /

random-forests-week11

36/100

Late coursework submission for machine learning week 11; clean R analysis of dog SNP genotypes using logistic regression and random forest with structured pipeline, CI, and validation script. Not portfolio software.

I15Q60D35
READMECI
R019d ago

Ekin-Kahraman /

statistical-power-Ekin-Kahraman

25/100

Coursework submission for statistical power analysis workshop. Single .qmd file with CI/CD rendering pipeline, minimal scope and explicitly non-portfolio software.

I15Q40D20
READMECI
Unknown019d ago

06 · Timeline

  1. Jan 4, 2026
    Joined GitHub
  2. Jan 6, 2026
    Created Ekin-Kahraman
  3. Jan 25, 2026
    Created bulk-rnaseq-differential-expression — Reproducible bulk RNA-seq pipeline for SARS-CoV-2 host response in R (DESeq2, pathway enrichment, viral load and sex-interaction analyses). Zenodo DOI.
  4. Mar 23, 2026
    Created single-cell-rnaseq-immune-profiling — End-to-end single-cell RNA-seq immune cell profiling pipeline in Python (scanpy, PBMC 3k)
  5. Apr 4, 2026
    Created safetynett — AI-powered clinical safety netting for NHS primary care. Red flag detection, automated patient follow-up, GP escalation.
  6. Apr 4, 2026
    Created rnaseq-nextflow-pipeline — Bulk RNA-seq Nextflow pipeline: FastQC, fastp, HISAT2, featureCounts, DESeq2, MultiQC. Dockerised, tested, reproducible.
  7. Apr 5, 2026
    Created covid-airway-deconvolution — PyTorch deconvolution of 484 COVID-19 nasopharyngeal samples into 14 airway cell types using a tissue-matched scRNA-seq reference. Validation r = 0.954.
  8. Apr 19, 2026
    Created rustscenic — Faster, lower-memory Rust rewrite of the SCENIC and SCENIC+ analysis stack: GRN, AUCell, cisTarget, topics, peak-to-gene links, and eRegulons.
  9. Apr 19, 2026
    Created rustscenic-airway-case — RustScenic 0.4.4 validation case: Ziegler 2021 airway atlas, 8/14 canonical TF hits, AUCell Pearson r=0.984 vs pySCENIC-unit
  10. May 10, 2026
    Created statistical-power-Ekin-Kahraman — Coursework submission for 5023B Session 3; kept public for assessment, not maintained as portfolio software.
  11. May 10, 2026
    Created random-forests-week11 — Coursework submission for 5023B Week 11; kept public for assessment, not maintained as portfolio software.
  12. May 23, 2026
    Most recent push to Ekin-Kahraman

07 · Compare

github.com/
Ekin-Kahraman · 6dmedian coder

08 · Rubric

How this score was produced

Overall = Σ (category × weight) + gentle top-end curve

CategoryWeightScoreContrib.
Raw total67.7
Top-end curve+5.9
Final overall73.6

Tier thresholds

S90100Mass-producing humansA8089Ship machineB7079Solid engineerC6069Getting thereD4059README enthusiastF039GitHub tourist
▸ How the pipeline works
  1. 01Scrape.Pull every non-fork repo pushed in the last 90 days, plus your contribution calendar, followers, and language byte counts — straight from GitHub's REST & GraphQL APIs.
  2. 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
  3. 03Grade each repo. All repos run in parallel through a fast scoring model that reads the picked files and rates each one independently on Impact, Quality, and Depth — with evidence citations.
  4. 04Aggregate. A larger reasoning model combines the per-repo scores with server-computed stats (heatmap, commit cadence, language entropy, follower count) to produce the 6-dimension profile score + roasts.
  5. 05Correct.Deterministic server-side checks enforce anchor-scale floors (e.g. a profile with 2,000+ public commits can't score 30 Consistency) and recompute the final verdict.

~90 seconds per profile, ~$0.25 in compute. Total of ~240 files read across your top-12 repos. One rating per GitHub account per day.

▸ Data sources & caveats
  • Heatmap & commit totals: GitHub GraphQL contributionsCollection — covers the last 365 days, includes private repos when the user has opted in (default).
  • Language %: byte totals across the top 30 owned non-fork repos.
  • Curve: a small upward nudge centered on raw score ≈ 70, capping at 100. Prevents specialists from being unfairly penalised for narrow breadth.
  • Anchor corrections: when server-measured signals (e.g. privateWorkLikely, multiRepoVolume, follower count) mandate a minimum category score, the aggregation step enforces it. These are signal-conditional, not identity-based floors.
Ekin-Kahraman · 73.6/100 — Rate My GitHub