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mahshidaln/README.md

Mahshid Alinoori

Animated equalizer reading AI systems, audio, evaluation

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Hi there

I'm Mahshid, a Machine Learning Engineer who likes building AI systems that are useful, thoughtful, and a little bit creative. My work lives around LLMs, agentic AI, evaluation, foundation models, and generative AI, with a soft spot for music and audio.

signal chain

research idea -> clean pipeline -> evaluated system -> real-world use

Now Playing

TRACK 01  LLM applications with production instincts
TRACK 02  Agentic AI evaluation, reliability, and governance
TRACK 03  Foundation models, experiments, and clean ML pipelines
TRACK 04  Generative audio, music style transfer, and creative AI

Studio Board

Channel Signal
Main mix LLM apps, RAG, evaluation workflows, production ML
Deep bass reliability, observability, explainability
Synth layer foundation models, experiments, reusable infrastructure
Hidden track generative audio, music style translation

GitHub Pulse

Activity graph

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  1. Music-STAR Music-STAR Public

    a Style Translation system for Audio-based Re-instrumentation

    Python 9 2

  2. AI-for-music AI-for-music Public

    Resources on AI applications in the music domain

    22 2

  3. demucs demucs Public

    Forked from facebookresearch/demucs

    Code for the paper Music Source Separation in the Waveform Domain

    Python 3

  4. VectorInstitute/cyclops VectorInstitute/cyclops Public

    A toolkit for evaluating and monitoring AI models in clinical settings

    Python 95 17

  5. VectorInstitute/odyssey VectorInstitute/odyssey Public

    A toolkit for developing foundation models using Electronic Health Record (EHR) data.

    Python 61 15

  6. VectorInstitute/MIDSTModels VectorInstitute/MIDSTModels Public

    Reference implementations for the MIDST challenge (Membership Inference over Diffusion-models-based Synthetic Tabular data) - SaTML 2025!

    Python 8 5