Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a passionate researcher and software engineer specializing in machine learning, artificial intelligence, and computer vision. I have worked as a Research Assistant at MUET, where I contributed to the development of an autonomous vehicle system that integrates computer vision for railway fault detection. Additionally, I have been actively involved in teaching AI concepts and organizing technology seminars to keep students updated on recent advancements. Some of my key projects include: Employee Behavior Monitoring System – Developed a machine learning model that classifies employee activities in a software company as productive or unproductive based on interaction patterns like keystrokes, mouse movements, and application usage. Python Code Autocompletion – Built a deep learning-based code autocompletion system using LSTMs and GRUs, trained on the Py150k dataset. Hand Gesture-Based Home Automation – Designed a computer vision-powered system to help disabled individuals control smart home devices. Real Estate Price Prediction – Developed a machine learning model that accurately predicts property prices with 90% accuracy. AI Chatbot Web Application – Created a university helpdesk chatbot using deep learning techniques. I have been recognized with the Prime Minister’s Youth Laptop Scheme (PMYLS) Phase-III award for academic excellence and also won a poster presentation award at MUET’s Final Year Project (FYP) Exhibition. I have also completed certifications in Machine Learning Pipelines, Deep Learning with PyTorch, and Image Segmentation. Feel free to check out my projects on GitHub: github.com/Zakirhakro12 Let’s connect on LinkedIn: linkedin.com/in/zakir-hussain-61040628b…I am a passionate researcher and software engineer specializing in machine learning, artificial intelligence, and computer vision. I have worked as a Research Assistant at MUET, where I contributed to the development of an autonomous vehicle system that integrates computer vision for railway fault detection. Additionally, I have been actively involved in teaching AI concepts and organizing technology seminars to keep students updated on recent advancements. Some of my key projects include: Employee Behavior Monitoring System – Developed a machine learning model that classifies employee activities in a software company as productive or unproductive based on interaction patterns like keystrokes, mouse movements, and application usage. Python Code Autocompletion – Built a deep learning-based code autocompletion system using LSTMs and GRUs, trained on the Py150k dataset. Hand Gesture-Based Home Automation – Designed a computer vision-powered system to help disabled individuals control smart home devices. Real Estate Price Prediction – Developed a machine learning model that accurately predicts property prices with 90% accuracy. AI Chatbot Web Application – Created a university helpdesk chatbot using deep learning techniques. I have been recognized with the Prime Minister’s Youth Laptop Scheme (PMYLS) Phase-III award for academic excellence and also won a poster presentation award at MUET’s Final Year Project (FYP) Exhibition. I have also completed certifications in Machine Learning Pipelines, Deep Learning with PyTorch, and Image Segmentation. Feel free to check out my projects on GitHub: github.com/Zakirhakro12 Let’s connect on LinkedIn: linkedin.com/in/zakir-hussain-61040628b

ZakirHussain





I am a passionate researcher and software engineer specializing in machine learning, artificial intelligence, and computer vision. I have worked as a Research Assistant at MUET, where I contributed to the development of an autonomous vehicle system that integrates computer vision for railway fault detection. Additionally, I have been actively involved in teaching AI concepts and organizing technology seminars to keep students updated on recent advancements. Some of my key projects include: Employee Behavior Monitoring System – Developed a machine learning model that classifies employee activities in a software company as productive or unproductive based on interaction patterns like keystrokes, mouse movements, and application usage. Python Code Autocompletion – Built a deep learning-based code autocompletion system using LSTMs and GRUs, trained on the Py150k dataset. Hand Gesture-Based Home Automation – Designed a computer vision-powered system to help disabled individuals control smart home devices. Real Estate Price Prediction – Developed a machine learning model that accurately predicts property prices with 90% accuracy. AI Chatbot Web Application – Created a university helpdesk chatbot using deep learning techniques. I have been recognized with the Prime Minister’s Youth Laptop Scheme (PMYLS) Phase-III award for academic excellence and also won a poster presentation award at MUET’s Final Year Project (FYP) Exhibition. I have also completed certifications in Machine Learning Pipelines, Deep Learning with PyTorch, and Image Segmentation. Feel free to check out my projects on GitHub: github.com/Zakirhakro12 Let’s connect on LinkedIn: linkedin.com/in/zakir-hussain-61040628b…I am a passionate researcher and software engineer specializing in machine learning, artificial intelligence, and computer vision. I have worked as a Research Assistant at MUET, where I contributed to the development of an autonomous vehicle system that integrates computer vision for railway fault detection. Additionally, I have been actively involved in teaching AI concepts and organizing technology seminars to keep students updated on recent advancements. Some of my key projects include: Employee Behavior Monitoring System – Developed a machine learning model that classifies employee activities in a software company as productive or unproductive based on interaction patterns like keystrokes, mouse movements, and application usage. Python Code Autocompletion – Built a deep learning-based code autocompletion system using LSTMs and GRUs, trained on the Py150k dataset. Hand Gesture-Based Home Automation – Designed a computer vision-powered system to help disabled individuals control smart home devices. Real Estate Price Prediction – Developed a machine learning model that accurately predicts property prices with 90% accuracy. AI Chatbot Web Application – Created a university helpdesk chatbot using deep learning techniques. I have been recognized with the Prime Minister’s Youth Laptop Scheme (PMYLS) Phase-III award for academic excellence and also won a poster presentation award at MUET’s Final Year Project (FYP) Exhibition. I have also completed certifications in Machine Learning Pipelines, Deep Learning with PyTorch, and Image Segmentation. Feel free to check out my projects on GitHub: github.com/Zakirhakro12 Let’s connect on LinkedIn: linkedin.com/in/zakir-hussain-61040628b

Available to hire

I am a passionate researcher and software engineer specializing in machine learning, artificial intelligence, and computer vision.

I have worked as a Research Assistant at MUET, where I contributed to the development of an autonomous vehicle system that integrates computer vision for railway fault detection. Additionally, I have been actively involved in teaching AI concepts and organizing technology seminars to keep students updated on recent advancements.

Some of my key projects include:

Employee Behavior Monitoring System – Developed a machine learning model that classifies employee activities in a software company as productive or unproductive based on interaction patterns like keystrokes, mouse movements, and application usage.
Python Code Autocompletion – Built a deep learning-based code autocompletion system using LSTMs and GRUs, trained on the Py150k dataset.
Hand Gesture-Based Home Automation – Designed a computer vision-powered system to help disabled individuals control smart home devices.
Real Estate Price Prediction – Developed a machine learning model that accurately predicts property prices with 90% accuracy.
AI Chatbot Web Application – Created a university helpdesk chatbot using deep learning techniques.
I have been recognized with the Prime Minister’s Youth Laptop Scheme (PMYLS) Phase-III award for academic excellence and also won a poster presentation award at MUET’s Final Year Project (FYP) Exhibition.

I have also completed certifications in Machine Learning Pipelines, Deep Learning with PyTorch, and Image Segmentation.

Feel free to check out my projects on GitHub: github.com/Zakirhakro12
Let’s connect on LinkedIn: linkedin.com/in/zakir-hussain-61040628b