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SHIXOOM/README.md

Shady Ali

I'm open for research and engineering opportunities in AI from August 2026 onwards within the U.S., Canada, UK, or France. My interests lie in LLMs interpretability, and I want to focus more on representation learning methods like JEPA, world models, and general training/alignment work. I'm also open for roles in Data Science and AI/ML engineering.

Updates

  • I will be continuing my work at Minnesota NLP through the summer of 2026, working on LLM/Agent evaluations, interpretability, and alignment, including a joint project with Thompson Reuters!
  • I graduated with high distinction and a 3.97 GPA from the University of Minnesota with a bachelors of science in Computer Science.
  • My position paper, Who You Test Matters: Difficulty Alignment in LLM Benchmark Analysis was accepted at ACL 2026 workshop, EvalEval! Preprint to be public soon.

Contact

Open to research and OSS collaborations.

Pinned Loading

  1. Self-Supervised-Representation-Learning-on-ECG-Signals-via-Dual-View-Transformers Self-Supervised-Representation-Learning-on-ECG-Signals-via-Dual-View-Transformers Public

    Jupyter Notebook 1 1

  2. TejeshwiniRS/TS-JEPA TejeshwiniRS/TS-JEPA Public

    Self-Supervised Representation Learning for Multivariate Time Series via Joint-Embedding Predictive Architecture

    Jupyter Notebook

  3. Language-Modeling-from-Scratch Language-Modeling-from-Scratch Public

    A journey of reading, implementing, and re-explaining papers that are concerned with word embeddings and language modeling.

    Jupyter Notebook