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@OpenQuantumDesign

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SeivenBell/README.md

🚀 Severyn Balaniuk | ML / AI Engineer and Quantum Computing Software Developer

linkedin

I specialize in building ML systems, particularly at the intersection of ML and quantum computing. My experience spans distributed training pipelines, compiler optimizations, and semi supervised learning.

🔨 Tech Stack

Frameworks

Cloud and DevOps

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  1. Wildfire_Hackathon_CNN Wildfire_Hackathon_CNN Public

    Predicting wildfire growth using complex time series geospatial and weather datasets with advanced CNN achitechture.

    Jupyter Notebook

  2. cocktail_advisor cocktail_advisor Public

    A Python-based chat application that integrates with a large language model (LLM) to create a Retrieval-Augmented Generation (RAG) system using a vector database for cocktail recommendations and in…

    Python

  3. Machine_Learning_for_Physics_Problems Machine_Learning_for_Physics_Problems Public

    Developing various models such as Feedforward Neural Networks, Recurrent Neural Networks, Variational Autoencoders, and Boltzmann Machines.

    Python 1

  4. Data_Science_and_Statistical_Learning_Projects Data_Science_and_Statistical_Learning_Projects Public

    Implemented and used image processing, feature extraction, clustering, decision trees, random forest, SVR, SVM, model evaluation (RMSE, precision, recall), Scikit-learn, Pandas, NumPy, OpenCV, PIL.

    Jupyter Notebook

  5. Trapped_Ion_Programmer_of_Ising_Spin_Models Trapped_Ion_Programmer_of_Ising_Spin_Models Public

    Replicating work on ion programming with additional code optimization

    Jupyter Notebook 1