I am a full-stack web developer, SEO analyst, and AI researcher with a passion for solving complex problems through technology. My expertise spans front-end and back-end development, with a focus on building innovative web applications and integrating advanced machine learning models. One of my key projects involved developing a Brain Tumor Detection web app using deep learning, which showcased my ability to create impactful solutions in healthcare. I have strong proficiency in HTML, CSS, Java, C++, Python, and WordPress, enabling me to deliver seamless and user-friendly applications. In addition to web development, I excel in SEO analysis, helping businesses optimize their online presence for better search engine rankings. I also have experience in creating animation-based web apps and continuously expanding my knowledge in AI research and development. As I pursue my MSCS and build on my background in IT, I am excited to collaborate with forward-thinking teams and bring my diverse skill set to challenging projects.…

galaxyuni1255308

I am a full-stack web developer, SEO analyst, and AI researcher with a passion for solving complex problems through technology. My expertise spans front-end and back-end development, with a focus on building innovative web applications and integrating advanced machine learning models. One of my key projects involved developing a Brain Tumor Detection web app using deep learning, which showcased my ability to create impactful solutions in healthcare. I have strong proficiency in HTML, CSS, Java, C++, Python, and WordPress, enabling me to deliver seamless and user-friendly applications. In addition to web development, I excel in SEO analysis, helping businesses optimize their online presence for better search engine rankings. I also have experience in creating animation-based web apps and continuously expanding my knowledge in AI research and development. As I pursue my MSCS and build on my background in IT, I am excited to collaborate with forward-thinking teams and bring my diverse skill set to challenging projects.…

Available to hire

I am a full-stack web developer, SEO analyst, and AI researcher with a passion for solving complex problems through technology. My expertise spans front-end and back-end development, with a focus on building innovative web applications and integrating advanced machine learning models.

One of my key projects involved developing a Brain Tumor Detection web app using deep learning, which showcased my ability to create impactful solutions in healthcare. I have strong proficiency in HTML, CSS, Java, C++, Python, and WordPress, enabling me to deliver seamless and user-friendly applications.

In addition to web development, I excel in SEO analysis, helping businesses optimize their online presence for better search engine rankings. I also have experience in creating animation-based web apps and continuously expanding my knowledge in AI research and development.

As I pursue my MSCS and build on my background in IT, I am excited to collaborate with forward-thinking teams and bring my diverse skill set to challenging projects.

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Work Experience

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Education

BS In Information Technology at GCWUS
September 23, 2020 - July 23, 2024
MSCS in progress
MSCS in Progress at GCWUS
October 22, 2024 - October 22, 2024

Qualifications

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Industry Experience

Software & Internet
    Brain tumor detection using Deep learning

    Developed a web application for brain tumor detection using deep learning techniques, aimed at assisting healthcare professionals in diagnosing tumors accurately and efficiently.
    List the technologies and frameworks used:
    Programming languages: Python, HTML, CSS
    Libraries: TensorFlow, Keras, Flask (for the web app)
    Other tools: google collabe, OpenCV (if used for image processing)
    Highlight the key features of the application, such as:
    User-friendly interface for uploading images
    Real-time tumor detection using a trained deep learning model
    Display of results with confidence scores and visualizations
    Project Outcomes:
    Achieved an accuracy in detecting tumors based on the dataset used.
    Reduced diagnosis time for healthcare professionals
    This project demonstrates my ability to apply Deep learning in real-world scenarios. The web app not only enhances diagnostic efficiency but also showcases my skills in full-stack development and deep learning.

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