🌱 I’m currently learning Devops, Kubernates and Docker
👨‍💻 All of my projects are available at https://github.com/Arshad9999/
💬 Ask me about ML, AI, React, Typescript, Javascript, Java, Firebase, MongoDB, Nextjs
📫 How to reach me [email protected]
📄 Know about my experiences Certificates

Mohammad Arshad Siddiqui

I'm a developer with a strong background in MLops, Data Engineering, ML Engineering, time-series analysis, cloud architecture and NLP/NLU tasks, both for research or industry. I also worked for a while in chatbots/voicebots development, STT/TTS and social robotics (Furhat technologies).

I'm curently interested into everything that is around data science models: MLops, data engineering, DevOps and code quality, model integration/deployements via CICDs, etc.

Technical stack (non-exhaustive, non-ordered)

Connect with me:

• •

Mohammad Arshad Siddiqui's Projects

10-image-classification-using-cnn

In this project we have used tensor flow datasets. The dataset which is being used by cifar10 which is having 10 different classes of images.

6companies30days

This repository contains the questions and their solutions to the #6Companies30Days challenge.

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

aws

Development repository for the aws cookbook

eleoxda

Basic informations about *me*

google-cloud-arcade-2023

Divided in two seasons 1. January to June & 2. July & December

hssmc-for-engineers

It provides a comprehensive understanding of economics from an engineering perspective. The focus is on practical applications and the ability to interpret economic indicators and parameters in the real world.

letslearngit

Recalling Git Commands

python-deep-learning

Deep learning is the coolest thing in the world! It's like giving a computer a brain, except the computer is better than any human brain out there.

python-dsa

This repository is a compilation of important Data Structures and Algorithms based on Python.

pythonplayground

PythonPlayground is a place where you can experiment, play around, and learn Python in a fun and interactive way. All valid commits are accepted, and everyone is welcome to contribute.