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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Skills

AI
AI Images
We
Web Design
SE
SEO
Em
Email Marketing

Experience Level

AI Images
Expert
Web Design
Expert
SEO
Intermediate
Email Marketing
Beginner

Language

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

Add your qualifications or awards here.

Industry Experience

Software & Internet
    uniE613 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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