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Farhad-Davaripour/README.md

Hi there. I'm Farhad Davaripour

As an MLOps developer, simulation specialist, and research engineer with 7 years of experience, I specialize in creating innovative data-driven solutions. My expertise includes leveraging machine learning, generative AI, and synthetic data from finite element simulations to analyze stress in steel pipelines and tackle complex industry challenges. Currently, at Arcurve Inc., I utilize cloud services (e.g., Azure, AWS) and analytical platforms (e.g., Databricks, Snowflake) to design and develop end-to-end machine-learning and ETL pipelines, as well as GenAI-based applications, to address critical industry needs. Let's connect on LinkedIn.

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  1. GenAI_Applications_in_Pipeline_Engineering GenAI_Applications_in_Pipeline_Engineering Public

    This repo provides examples of using Generative AI applications to streamline the design of gas pipelines.

    Jupyter Notebook 1

  2. AI_Applications_in_Pipeline_Engineering AI_Applications_in_Pipeline_Engineering Public

    This repository uses machine learning to map pipeline anomalies, predict future depths, and fill missing data to improve pipeline integrity management.

    Jupyter Notebook 1

  3. 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

  4. 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 37 11

  5. 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…

    7 2

  6. Navigating_GenAI Navigating_GenAI Public

    Jupyter Notebook 1