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frustea/README.md

👋 Hi there, I'm Ali!

Welcome to my GitHub space! I'm a physicist, AI Scientist, and Nightscape Photographer, specializing in Classical and Quantum Machine Learning, LLMs with a passion for building the next generation of intelligence to handle the next phase of discoveries! Here, you'll find projects ranging from Analog Quantum Simulations and Quantum Generative Models to LLMOps, each a testament to my journey at the intersection of Physics and Computer Science.

🚀 About Me

  • 👨‍💻 Currently, I have just graduated from the PhD program and I am "open to work" for the next step in my journey
  • 🌱 Learning the next generation of multimodal RAG methods.
  • 💬 Ask me about why I named my account "frustea"? :)
  • 📫 How to reach me: Message me on LinkedIn
  • 😄 Pronouns: Alison, but without the -son :)
  • ⚡ Fun fact: I traveled from the East Coast to the West Coast of the US within 36 hours, nonstop.

🛠️ My Toolkit

  • Machine Learning (ML) Engineering + MLOps + Deep Learning: Apache Airflow, Kafka, TFS, RestAPI, Docker, Kubernetes, OpenShift, PyTorch, TensorFlow, Keras, JAX, Trax, scikit-learn.
  • Large Language Models (LLM) + LLMOps + Generative AI: LangChain, HuggingFace, NLTK, Axolotl, Mergekit, LoRA, DPO, Vetrx AI, Kubeflow, RAG, Vector Database.
  • Data Science + Data Analysis: R, Pandas, NumPy, SQL, Data Aggregation, Visualization & Cleaning.
  • Numerical Simulation: Monte Carlo methods, Python, C++, MATLAB, Mathematica.
  • Quantitative Research: Statistical inference, Bayesian, Probability and Statistics, PDE & ODE.
  • Quantum Machine Learning: Qiskit, Pennylane, TensorFlow Quantum, Ion-Traps, Semiconductors.
  • Cloud Computing: Platform Experiences: AWS SageMaker, Google Cloud, Databricks.

🌟 Highlight Projects

  • Fast and Solve Algorithm - Hybrid Classical-Quantum algorithm for Quantum Generative Model. https://github.com/frustea/Quantum-Fast-and-Slow

  • Analog Quantum Simulation of Lattice Gauge Theory with Silicon - Finite Temperature Hartree-Fock-Bogoliubov simulation method for next generation of solid-state based quantum simulators.

📫 Let's Connect!



Thanks for visiting. Me and Sleepy Coder (below) wish you the best! Feel free to explore my repositories and get in touch if you'd like to collaborate or chat about all things data. ☺️


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  1. Quantum-Fast-and-Slow Quantum-Fast-and-Slow Public

    Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization

    Python 5

  2. fermihubbard fermihubbard Public

    Forked from georglind/fermihubbard

    This is a small python library to generate the basis and many-body Hamiltonian for the Fermi-Hubbard model.

    Python

  3. Generative-AI-with-LLMs Generative-AI-with-LLMs Public

    Generative AI with LLMs

    Jupyter Notebook 1 1

  4. Hamiltonian-Simulation-Brain-Damage Hamiltonian-Simulation-Brain-Damage Public

    Efficient Quantum Simulation With Optimal Brian Damage Algorithm

    Python

  5. Lattice-Gauge-Theory-with-Fermionic-Quantum-Simulators Lattice-Gauge-Theory-with-Fermionic-Quantum-Simulators Public