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Hello, there! 👋

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

📚 Education

  • Master's in Computer Engineering, New York University, NY, USA (In progress) [GPA 3.83/4]

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 [email protected] or [email protected].

Kabir Jaiswal's Projects

agent-experiments icon agent-experiments

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

animated-art-engine icon animated-art-engine

A generative engine that takes various png layers on a sprite sheet format, combines them and then converts them into a .gif file

cosinesimilarity icon cosinesimilarity

Using python to source data from different news sites and calculating cosine similarity between them.

godesigner icon godesigner

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 that are present in the generated photo using the Segment Anything model and Google Shopping API.

godesignerfre7773 icon godesignerfre7773

Go Designer: Revolutionizing Interior Design with AI-Powered Personalized Furniture and Decor Recommendations.

jupwiki icon jupwiki

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

kdbairflowoperator icon kdbairflowoperator

A light weight KDB operator for Apache Airflow KDBAirflowOperator KDBAirflowOperator is a custom Apache Airflow operator that can be used to execute KDB+/q scripts from within Airflow DAGs.

kdbairflowprovider icon kdbairflowprovider

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 pipelines that involve KDB+/q.

llm-peft-optimization icon llm-peft-optimization

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.

local-citation-recommendation-systems icon local-citation-recommendation-systems

A two-stage Local Citation Recommendation System with OpenAI embeddings and re-ranking using Cohere, outperforming the original system by approximately 5% in accuracy.

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

modified-resnet-for-cifar10 icon modified-resnet-for-cifar10

Modified Resnet For CIFAR10 implements a custom ResNet architecture for CIFAR-10 image classification, designed to maximize test accuracy while maintaining less than 5 million parameters. It showcases the exploration of various architectural choices, data augmentation techniques, and training methodologies.

spatialsenseweb icon spatialsenseweb

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

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