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Hi there 👋

Mukhammad Fahlevi Ali Rafsanjani

🚀 Passionate AI Engineer with over 1 year of industry experience & Recent Bachelor of Engineering Physics Graduate from Telkom University 2023.🎓

🔍 Pursuing AI research with a focus on chatbot development across various industries. Proficient in Python, TensorFlow, Golang, and JavaScript for AI/ML solutions. Skilled in developing intelligent web applications.

🌟 Core Competencies:

  • AI/ML Engineering
  • Data Science
  • Chatbot Development
  • Software Engineering
  • Research Assistant

My Project

lets contribute to my repo!!

Python Project:

  • Basic Project ChatGPT using Flask: here

Next.Js Project:

  • Chatbot-next-js: Here

### Github Statistics

Mukhammad Fahlevi Ali Rafsanjani's Projects

binary-image-classifier icon binary-image-classifier

The project works upon classifying images into two distinct classes of MNIST dataset using binary encoding and Quantum Neural Network.

bmw_challenge icon bmw_challenge

Due to the rapid development of hardware and software, the past decades have drastically shifted quality control from manual examination towards automated inspection. In the light of the required human expertise to hand-tune algorithms, machine learning (ML) techniques promise a more general and scalable approach to quality control. The remarkable success of convolutional neural networks (CNNs) in image processing has revolutionized automated quality inspection. Of course, any technology has its limitation, and for CNNs, it is computation power. As high-performance CNNs usually assume large datasets, datacenters ultimately end up with large numerical workloads and expensive GPUs. Quantum computing may one day break through classical computational bottlenecks, providing faster and more efficient training with higher accuracy.

cxq-ml icon cxq-ml

A comparison of Classical and Quantum Machine Learning Approach for Neural Networks in binary image classification.

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