I am highly motivated to begin my career with an organization known for its innovation, engineering excellence, and cutting-edge technology.I am currently pursuing my Bachelor’s degree in Computer Science and Engineering…
I am highly motivated to begin my career with an organization known for its innovation, engineering excellence, and cutting-edge technology.I am currently pursuing my Bachelor’s degree in Computer Science and Engineering and have a strong foundation in programming, web development, and problem-solving. I have completed an internship in web development, where I gained hands-on experience in HTML, CSS, JavaScript,react, mongoDB,SQL,Java and frontend development. I have also worked on academic and personal projects such as a price comparison system, portfolio website, and database-driven applications, which strengthened my skills in UI/UX design, logic building, and software development practices.I am a hardworking, self-motivated individual with a strong willingness to learn new technologies and adapt to challenging environments. I am particularly interested in contributing to Mercedes-Benz’s software and digital solutions while continuously improving my technical and professional skills.
Completed a 3-week Web Development internship at TipApps Technologies, gaining hands-on experience in JavaScript, Reactjs, Git, GitHub, and SQL.
Developed practical skills in frontend development and version control workflows through real-world projects.
Completed an online Web Developer internship at Octanet Technologies, gaining hands-on experience in front end development.
Worked on building responsive websites and optimizing web applications.
Utilized technologies including HTML, CSS, JavaScript, and React to deliver effective web solutions.
Completed an online UI/UX Design internship at CodSoft, driven by a passion for design and technology.
Gained practical experience in wireframing, prototyping, and usability testing.
Developed a plant leaf disease detection website that identifies and diagnoses plant diseases using image analysis and real-time predictions. Implemented with Python, Machine Learning, HTML, CSS, and JavaScript to deliver an interactive, accurate, and scalable solution.
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