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Farhad-Davaripour/README.md

Hi there. I'm Farhad Davaripour

As an MLOps developer, simulation specialist, and research engineer with over 6 years of experience, I specialize in developing innovative data-driven solutions. My tenure as a postdoc at NC Inc. was marked by leveraging machine learning and synthetic data from finite element simulations for thermal stress analysis in pipe bends, directly addressing industry challenges. In my current role at Arcurve Inc., I utilize cloud services (e.g., Azure and AWS) to develop/maintain end-to-end machine-learning pipelines. Additionally, my personal project 'DocsGPT,' a RAG-based querying app using LangChain and OpenAI's API, demonstrates my proficiency in implementing solutions using generative AI. Let's connect on LinkedIn.

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  1. DocsGPT DocsGPT Public

    This app allows users to easily query a PDF document using OpenAI's GPT-3 language model in Google Colab, utilizing Google Drive for storage.

    Python 35 10

  2. CFRP_Reinforced_HDD_overbend CFRP_Reinforced_HDD_overbend Public

    This project employs machine learning and synthetic dataset to predict the peak equivalent stress imposed on a CFRP wrapped HDD overbend

    Python

  3. Stanford-CS229-Spring2023-Notes Stanford-CS229-Spring2023-Notes Public

    CS229 course notes from Stanford University on machine learning, covering lectures, and fundamental concepts and algorithms. A comprehensive resource for students and anyone interested in machine l…

    3 1

  4. Linear_regression_Core_Principles Linear_regression_Core_Principles Public

    Building a Linear Regression Model from scratch.

    Jupyter Notebook