Muhmmad Daniyal Ijaz Machine Learning Engineer
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I'm currently a Bachelor's student specializing in Data Science, with a strong passion for applying AI and machine learning to solve real-world challenges. My academic background, hands-on project experience, and professional role as a Machine Learning Engineer at Code Graphers have equipped me with a solid foundation in machine learning, deep learning, and data-driven problem-solving.

Machine Learning Engineer at Code Graphers: In my role as a Machine Learning Engineer, I collaborate with a team to develop and deploy machine learning solutions that drive impactful results for clients. This position has provided me with practical experience in end-to-end model development, from data preprocessing and model training to deployment and optimization in production environments.

Song Lyrics Generation Using Neural Networks: I worked on a project where I developed a model to generate song lyrics using recurrent neural networks (RNNs). Leveraging the Deezer API for data collection, I implemented LSTMs and RNNs to train a model capable of creating coherent, stylistically accurate lyrics. This project deepened my understanding of sequence modeling and the creative potential of neural networks.

Voice-to-Voice Conversational AI Chatbot: I built an AI-powered voice-to-voice conversational chatbot capable of real-time communication. This chatbot integrates speech recognition and text-to-speech APIs with a natural language processing model to understand user intents and generate spoken responses. This project provided me with insights into voice technologies and real-time response optimization, key skills for customer service and automated assistant applications.

Current Research in Federated Learning: I am actively engaged in research on federated learning, an advanced area of machine learning focused on decentralized model training while preserving user privacy. This research aims to enhance data security and user confidentiality in AI applications. I am analyzing and improving current federated learning tools to address challenges in privacy and efficiency, aligning with the growing need for secure AI solutions.

Subjects

  • Machine Learning Expert

Experience

  • Machine Learning Engineer (Aug, 2024–Present) at Code Graphers
    Working as Machine Learning Engineer

Education

  • Data Science (May, 2021–now) from National University of Computer and Emerging Sciences

Fee details

    Rs1,000/hour (US$3.60/hour)

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