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Gronoxx/README.md

Gustavo Dias Apolinário

Information Systems undergraduate at UFMG, Brazil. I work on the limits of methods: when a compressed network's accuracy can be certified, when a retrieval pipeline should refuse to answer, and when mined data is unfit to train on.


Research

Three independent projects, each written up as a preprint. All of it ran on one 6 GB consumer GPU, with no cluster and no lab allocation. Drafts on request.

Limits of accuracy certification under compression

No bound computed at the trained weights can certify what low-rank truncation does to accuracy, and the impossibility is quantitative rather than a disjunction. Matching Θ(N) query bounds for certification, which rules out accuracy-certified branch-and-bound.

When compression inverts design choices

Under aggressive truncation the ranking of activation functions reverses, so picking one by uncompressed accuracy does worse than picking at random. Training under a rank constraint beats truncating afterwards in 60 of 60 configurations.

Knowing when retrieval has failed

Two pre-registered abstention signals built from the retrieval score distribution alone, with no supervision and no second model. AUROC 0.70 to 0.81, transferring unchanged to three BEIR benchmarks including one outside the source domain.

Undergraduate thesis in progress: a tutoring architecture grounded in Universal Design for Learning, advised by Prof. Ana Paula Couto da Silva.


Contributions to other projects

The forks in this account exist because of these.

project stars contribution
huggingface/transformers 165k merged · 29 forward() methods returning a bare tensor under a tuple annotation, found by a runtime audit of 76 candidates rather than a static scan
python/cpython 76k under review · two spurious RuntimeWarnings in site.py, traced by bisecting five releases
ollama/ollama 180k issue, fix open · /api/generate ignores think: false while the chat endpoint honours it
qdrant/qdrant-client 1.3k PR and 3 issues · one closed by a maintainer's fix that adopted the diagnosis in the report
terryyin/lizard 2.5k merged · PEP 695 functions read with the name ] and zero complexity, affecting 5.7% of the functions in home-assistant/core

Selected work

RiceOs: a complete Wayland desktop environment with Hyprland, a hand-built QML shell on Quickshell, GLSL shaders, and a local LLM wired into the workflow. Linux-Commands: an interactive shell in C that walks a raw ext2 image, parsing the filesystem by hand. mastermind-udp: a binary protocol over UDP with its own checksum and stop-and-wait retransmission, tested through a fault-injecting proxy. From Zero to SPCA: a five-part walkthrough building to branch-and-bound for Sparse PCA from first principles.


ORCID · gustavo-apolinario@ufmg.br

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  1. From-Zero-to-SPCA-through-Branch-and-Bound From-Zero-to-SPCA-through-Branch-and-Bound Public

    Five-part illustrated walkthrough that builds from first principles to the branch-and-bound algorithm for Sparse PCA.

    HTML

  2. PySniff PySniff Public

    CLI para detecção e refatoração de code smells em funções Python, com classificador leve roteando para adaptadores LoRA especializados. TP de Engenharia de Software II, UFMG.

    Python 2

  3. RiceOs RiceOs Public

    A declarative Linux desktop (Hyprland + Quickshell) themed from a single TOML file with no logout, plus research tooling: a thesis vault CLI and a privacy-first multi-model deliberation.

    QML

  4. mastermind-udp mastermind-udp Public

    Client-server Mastermind over UDP: binary protocol, XOR checksum, stop-and-wait retransmission with duplicate suppression. 50 tests with a fault-injecting UDP proxy. Networks coursework, UFMG, in a…

    Python

  5. Linux-Commands Linux-Commands Public

    An interactive shell built from scratch in C to navigate and inspect an `ext2` file system image

    C 1

  6. Brazilian-League-Forecast Brazilian-League-Forecast Public

    A forecasting project focused on the Brazilian Football League (Brasileirão), leveraging data analysis and machine learning to predict match outcomes, rankings, and other insights.

    Jupyter Notebook 2