Shiva Prasad Boyenipally provides his contact information and summarizes his skills including Java, HTML, CSS, JavaScript, React, and Bootstrap. He excels at utilizing frameworks like React combined with CSS libraries like Bootstrap to design engaging user interfaces. Leveraging React empowers him to create dynamic user experiences. His education includes a Bachelor's in Computer Science and Engineering from MLR institute of Technology with a 7.77 CGPA. Projects include plant disease detection using image processing and machine learning algorithms, and cloning a travel agency website using HTML and CSS. Certifications include introductions to front-end development and responsive web design from Coursera and freeCodeCamp.

1. Shiva Prasad Boyenipally Email : sagarshiva111555@gmail.com
Linkedin: https://www.linkedin.com/in/shivaprasad-9390sp79/ Mobile : +91 9390790414
Github: https://github.com/shiva12350
Blogging: https://shivatechblogs.hashnode.dev
Summary
I have nurtured a profound comprehension of a wide array of technologies and concepts, encompassing Java, HTML,
CSS, JavaScript, React, and Bootstrap. I excel by skillfully utilizing frameworks such as React, in combination with CSS
libraries like Bootstrap, to artfully design captivating and visually satisfying user interfaces. Leveraging React, a widely
adopted JavaScript library for web development empowers me to create dynamic and enthralling user experiences.
Meanwhile, the availability of a myriad of pre-designed components and styling options through CSS frameworks
streamlines the development process, enhancing efficiency across the lifecycle.
Education
•
MLR institute of Technology
Bachelor of Technology, Computer Science and Engineering; CGPA: 7.77 2019 - 2023
•
Narayana College
Math, Physics and Chemistry ; Marks: 973 2017 - 2019
•
Wisdom Grammar High School
Secondary School; CGPA: 9.3 2017
Projects
•
Plant Diseases Detection Using Image Processing With Machine Learning
Python, ML
◦ In this project, Using plant image detecting the diseases from collected dataset and recommending the
fertilizersusing ML algorithms those are SVM (support vector machine) and CNN (convolutional neural network).
The plant disease detection techniques have various phases which include pre-processing, segmentation, feature
extraction and classification. Additionally, the project resulted in the publication of a conference paper, allowing for
academic contribution.
•
Ocimum Business Services website clone
HTML,CSS
◦ Technologies Used: HTML, CSS
◦ Replicated a non-responsive version of a travel agency website to practice HTML and CSS. Focused on recreating
the user interface and layout.
Certifications
• Introduction to Front-End Development from coursera
• Responsive web design from freecodecamp
• Javascript from freecodecamp
Technical Skills
• Good understanding of programming languages JAVA,C Programming
• Front-End Web Technologies :
◦ HTML(Hypertext Markup Language)
◦ CSS(Cascading Style Sheet)
◦ Bootstrap
◦ Javascript
◦ React
• Operating Systems
• Computer Networks