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  • New York University
  • New York

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kabir12345/README.md

Hello, there! 👋

I'm Kabir Jaiswal, a Master's student in Computer Engineering at New York University (NYU) 🎓. Currently: Machine Learning @ BrandGuard AI. Seeking new opportunities as a MLE.

📚 Education

  • Master's in Computer Engineering, New York University, NY, USA (In progress) [GPA 3.88/4]

Relevant Coursework: Machine Learning, Deep Learning Fundamentals, Applied Matrix Theory, Computing System Architecture

  • Bachelor in Technology Computer Science Engineering (Minor: Artificial Intelligence and Machine Learning), University of Petroleum and Energy Studies, Uttrakhand, India

Relevant Coursework: Machine Learning, Data Mining, Computational Linguistics and Natural Language Processing, Artificial Intelligence, Pattern and Anomaly Detection, Neural Networks, Deep Learning, Big Data Analysis (data visualization techniques), Applied Mathematics

💻 Technical Skills

  • Programming Languages: Python, R, SQL, HTML, CSS, Javascript
  • Technologies & Tools: Tableau, AWS Cloud, Apache Airflow, Power BI, Tensorflow, Keras, Pytorch, NLTK, Scikit-Learn, Scipy, Unix & Linux, ETL pipelines, Mongo DB
  • Statistical Analysis: Regression, Hypothesis Testing, Bayesian Analysis, Classification, Clustering

📫 How to reach me

Feel free to contact me on LinkedIn or email me at kabirj@nyu.edu or kabirjaiswal30@gmail.com.

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  1. SpatialSenseWeb SpatialSenseWeb Public

    Usings On-device large language model and depth anything model to help navigate indoor environments.

    Python

  2. Agent-Experiments Agent-Experiments Public

    This repository contains examples of using LangChain, a framework for building applications with large language models (LLMs), to create various types of agents.

    Python

  3. godesigner godesigner Public

    GoDesigner is a B2B tool designed for interior designers. It allows users to upload photos of homes and reimagine the house using generative AI. The web app also provides product recommendations th…

    Python 4

  4. LLM-PEFT-Optimization LLM-PEFT-Optimization Public

    Experiments on optimizing of Large Language Models (LLMs) using Parameter Efficient Fine-Tuning (PEFT) with techniques like LORA and IA3 for faster inference and reduced memory usage.

    Python 1

  5. JupWiki JupWiki Public

    Transform Jupyter notebooks into comprehensive wikis, providing detailed descriptions for functions, classes, variables, and more.

    Python

  6. KdbAirflowProvider KdbAirflowProvider Public

    A lightweight KDB provider for Apache Airflow, featuring the KDBAirflowOperator. This provider allows for seamless integration between Airflow and KDB+/q, making it easier to automate data pipeline…

    Python