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Merged code into libraries the AI/ML world actually uses.
Every merged PR, carried on a C60 buckyball. Real geometry: 60 vertices, 90 bonds, 12 pentagons, 20 hexagons.
Spin the interactive version on my portfolio →
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| Repo | Contribution | Status |
|---|---|---|
joblib/joblib 4.1k★ |
Bug fix: accept any os.PathLike in dump()/load() (PR #1812) |
✅ Merged |
joblib/joblib 4.1k★ |
Docstrings for time-format helpers (PR #1811) | ✅ Merged |
huggingface/sentence-transformers 18.9k★ |
Regression tests for a core utility (PR #3855) | ✅ Merged |
huggingface/sentence-transformers 18.9k★ |
Documented the sparse-tensor → SciPy COO conversion (PR #3843) | ✅ Merged |
nltk/nltk 14.7k★ |
Regression tests for transitive_closure — cycles, reflexive closure, and input-mutation safety (PR #3703) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: low-bit /DeviceRGB images decoded as RGB instead of palette — broken image extraction (PR #3929) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: low-bit expansion never ran for unfiltered/inline images, raising unrecognized image mode (PR #3938) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: an explicit /Decode array replaced the Adobe CMYK inversion instead of composing with it, leaving extracted images colour-inverted (PR #3943) |
✅ Merged |
authlib/authlib 5.4k★ |
Bug fix: the OAuth1 InsecureTransportError carried the OAuth2 description, telling OAuth 1.0a clients "OAuth 2 MUST utilize https." — merged by the project lead (PR #919) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: pages was annotated list[PageObject] but returns a lazy _VirtualList, so type checkers accepted reader.pages.append(...) — which raises at runtime (PR #3957) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: PdfWriterProtocol declares _reader, but PdfWriter only set it in incremental mode — so a normal writer failed the protocol it is passed as (PR #3960) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: the object-translation table is declared int-to-int, but each entry also stores the source document under a "PreventGC" key — two type: ignore comments hid the mismatch (PR #3970) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Release tooling: the version bump always assumed a patch release, so enhancements had to be corrected by hand — now derived from the generated changelog sections (PR #3969) | ✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: a stream without an explicit /DecodeParms handed every filter a plain dict, but the decoders are typed for a DictionaryObject (PR #3971) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: iterating a PDF dictionary yields keys, so the AcroForm font walk collected nothing — form fields inheriting a document-level font came back with an empty font set (PR #3983) | ✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: RectangleObject was typed for a tuple, but every caller inside pypdf passes the ArrayObject read from the PDF (PR #3984) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Returned two empty lists from a function annotated None, hidden behind a type: ignore (PR #3985) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
The annotation list holds IndirectObject references, not the DictionaryObject it was declared as (PR #3986) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Fit was typed for a tuple, but the destination builder unpacks the PDF array and hands over a list (PR #3990) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
The annotation border was declared an ArrayObject while the documented usage is a plain list (PR #3991) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
XmpInformation was typed for a ContentStream, a sibling of the DecodedStreamObject the /Metadata stream actually is (PR #3995) |
✅ Merged |
py-pdf/pypdf 10.1k★ |
Bug fix: a CID font's /W array may hold real numbers, so a width of 443.35938 landed in a dict[str, int] (PR #3996) |
✅ Merged |
| pypdf · optax · numba · llama_index | Bug fixes & docs | 🔄 In review |
22 merged across 5 libraries the AI/ML world runs on — more PRs landing over time.
18+ AI agents coordinate dynamically to generate personalised structured intelligence reports across Vedic Astrology, Numerology, Palmistry, Tarot, and Vastu Shastra — in 23 Indian languages.
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Enterprise-grade AI system that maps bench employees to open roles using 5-layer Hybrid RAG — with L1+L2 semantic cache, SSE streaming, circuit breaker, and LLM-as-judge guardrails. SonarQube Quality Gate PASSED.
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Enterprise IT incident response engine — zero vectors, zero embeddings, zero hallucinated commands. Every kubectl command is pulled verbatim from the database. Three completely separate knowledge panels ranked by priority for every incident.
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A LangGraph pipeline where 5 specialist agents collaborate to generate and optimise marketing campaigns — with a learning engine that uses past performance data to improve the next run automatically. ROI improves run over run.
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An agent platform where any application can plug in an AI agent with just a YAML file — persona, tools, behaviour, all configured at runtime. Per-agent lock/unlock for token protection. Works with any model.
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