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I may be slow to respond.
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I may be slow to respond.
455 followers · 483 following

Achievements

Achievement: Galaxy Brainx3Achievement: Pair Extraordinairex4Achievement: StarstruckAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Galaxy Brainx3Achievement: Pair Extraordinairex4Achievement: StarstruckAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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mattral/README.md

🌌 Mattral

Building systems that see and understand

ML Engineer · Computer Vision · NLP · Part-time human being

mattral

✨ Between the lines

I build machine learning systems that bridge the gap between research and reality.
Specializing in computer vision and language models, I care about things that work—and work at scale.

My work lives in two worlds:
the clean abstractions of mathematics,
and the messy reality of production systems.

Current state of affairs:
Building proprietary systems by day,
exploring open questions by night.
(GitHub activity is the calm between storms)


Some truths, in no particular order:

  • Morning ritual: coffee, ambient music, checking if the model converged
  • Believe in elegant systems over clever hacks
  • Forever fascinated by how machines learn to see
  • Existential crisis: optional but often included
  • Keep my life private, my code public, and my commits clean
  • Currently more active in proprietary realms than GitHub's public squares

🛠 Tools of the trade

Selected with intention, used with purpose.

Perception & Intelligence


Infrastructure & Scale


Data & Systems


Craftsmanship


🌐 Connect & context


🎶 Current frequency


📊 Rhythm & motion

The quiet work behind the scenes.

mattral

mattral

snek

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Where mathematics meets the machine,
and curiosity meets code.


"Most of my interesting work happens in private repositories.
Consider this GitHub the quiet cafe where I work on side projects
when the proprietary systems are sleeping."

Pinned Loading

  1. ML-AI-Algorithms-from-scratch ML-AI-Algorithms-from-scratch Public

    implementation of several Supervised, Unsupervised, Bayesian, Neural Networks and Reinforcement Learning Algorithms from scratch with only numpy and basic libs.

    Python 33 3

  2. RAG-Multimodal-Financial-Document-Analysis-and-Recall RAG-Multimodal-Financial-Document-Analysis-and-Recall Public

    (RAG) Developing a chatbot capable of utilizing PDF files as a knowledge base to answer questions. Additionally, we employed the vision capability of GPT-4V to identify and describe graphs from eac…

    Jupyter Notebook 50 11

  3. NOTE-Best-Practices-for-Computer-Vision NOTE-Best-Practices-for-Computer-Vision Public

    Best Practices for Computer Vision

    Python 44

  4. Kolmogorov-Arnold-Networks Kolmogorov-Arnold-Networks Public

    customizable neural network architecture based on Kolmogorov-Arnold Networks (KANs), utilizing TensorFlow

    Python 19 1

  5. Click-Analytics Click-Analytics Public

    Do what Analysts usually do with just mouse clicks, Unstable Yet, but can tryout deployed version. Referenced and modified from an older repository.

    Python 7 1

  6. LLM-Improving-Trained-Models-with-RLHF LLM-Improving-Trained-Models-with-RLHF Public

    Experimented with the three essential Reinforcement Learning with Human Feedback (RLHF) process stages. It starts by revisiting the Supervised Fine-Tuning (SFT) process, then proceeds with the trai…

    Jupyter Notebook 13 2