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abhiverse01

Hi šŸ‘‹, I'm Abhishek Shah

šŸ˜Ž AI/ML Engineer | Full Stack | Python Dev | Data Science | NLP | LLMs | Explorer

"Observin' the momentary chaos in the Universe ā¤ļø" āˆ’ Abhishek Shah

About Me

coding

  • šŸ‘€ Iā€™m interested in Artificial Intelligence, Development, DevOps, Code and the Cosmos.

  • šŸ”­ Iā€™m currently working on RS Systems @InflancerTechnology as well as Open Source and Freelance Projects

  • šŸŒ± Iā€™m currently learning Advanced AI Engineer Aspects & MLOps

  • šŸ‘Æ Iā€™m looking to collaborate on Python, R, Django, Flask, AI, ML, NLP, and LLM related Projects.

  • šŸ‘Øā€šŸ’» All of my projects are available at github.com/abhiverse01

  • šŸ“ I regularly write articles on Medium

  • šŸ“« Reach me @ [email protected] or [email protected]

  • šŸ˜Ž Visit my portfolio site abhishek-shah-portfolio

  • šŸ“ƒ Check out my digital resume abhishek-shah-html-resume

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Robotics Enthusiast

Abhiverse-Robotics

abhiverse-robotics-logo

I am deeply passionate about robotics and actively contribute to various projects in this field through my organization, abhiverse-robotics.

About abhiverse-robotics

  • We focus on developing innovative robotics solutions and simulations.
  • Our projects include autonomous systems, robotic process automation, and advanced robotics simulations.

Get Involved

Connect With Me

abhiverse01 abhiverse01 abhiverse01 1lord001 @abhiverse01

LLMs I've Worked With:

Llama DistilBERT FlanT5 Grok Salesforce TinyLlama

Languages and Tools

Technologies I've Mastered

JavaScript GraphQL CSS3 C C++ HTML5 DigitalOcean Netlify Cloudflare Apollo-GraphQL Bootstrap Context-API FastAPI JWT NPM NodeJS Nodemon React Redux Vite TailwindCSS Apache Nginx Sequelize MySQL MongoDB Postgres Adobe Adobe Illustrator Figma Adobe Premiere Pro Adobe Photoshop Keras Pandas NumPy Matplotlib TensorFlow GitHub Actions Git GitHub GitLab Jira

Most Used Languages

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My GitHub Stats

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Lines of code

My Contributions

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My Resume

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View in Large

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Ā© Abhishek Shah | 2024

Abhishek Shah's Projects

ai-learning-journey icon ai-learning-journey

Compiles all the colab notebook content and resources for my journey in learning AI

binary-multi-cnn-cifar10 icon binary-multi-cnn-cifar10

Contains my project code for two CNN models, one trained for binary classification while the other made for multi-class classification. It utillises the CIFAR-10 dataset.

codsoft-intern icon codsoft-intern

This repository contains the projects I worked on during my Codsoft internship. Each project focuses on a different machine learning problem, including credit card fraud detection, customer churn prediction, movie genre classification, and SMS spam detection.

cookiecutter-django icon cookiecutter-django

Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

git-demo icon git-demo

contains the experiments i did to understand and learn git-demo and stuff.

hand-gesture-recognizer icon hand-gesture-recognizer

Hand Gesture Recognition for Sign language Detection deployed along a web application that recognizes through which one can translate hand gestures into commands or text using a webcam.

how-i-learned-ml-repo icon how-i-learned-ml-repo

This repo contains all the info, notes, codes and references to projects that I learned to get started my ML Journey.

iris-classifier-knn icon iris-classifier-knn

The Iris flower classification project uses the Iris dataset to demonstrate a simple machine-learning workflow. It covers data loading, exploration, preprocessing, model building, evaluation, and data visualization.

leetcode-solved-questions icon leetcode-solved-questions

# This repository is a compilation of all the leetcode questions that I solved along with the examples copied. I've also tried to explain it through possible comments. I am constantly updating solutions for various common interview questions, so keep tuned for more. šŸ™‚

llama2-codegen icon llama2-codegen

This notebook contains the code script I used to fine tune a Llama-2 LLM to create a python codeium generator using a custom build dataset

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