Full-Stack Developer (React/Node) Portfolio Resume

DASARI RAKESH

Mail: **************@*****.*** Contact: +91-984*******

Linkedin: https://www.linkedin.com/in/rake7/ GitHub: https://github.com/Rake11 PROFILE SUMMARY

Enthusiastic full-stack developer with experience in building scalable web and mobile applications using React, and React Native. Skilled in JavaScript, Python, and Java, with a strong foundation in APIs, databases, and cloud platforms. Adept at problem-solving, collaborating in diverse teams, and adapting quickly to dynamic environments. Passionate about learning, architecting systems, and delivering client-focused solutions under mentorship.

EDUCATION

V. R. Siddhartha Engineering College Oct 2022 - May 2024 MCA(Computer Applications) CGPA: 7.99/10

PROJECTS:

1. CONVERSA LINK FEB-2025

Developing a real-time chat application using the MERN stack with MongoDB for storing user details and messages.

Implemented WebSocket communication using Socket.io for seamless real-time messaging.

Build a responsive and visually appealing front-end using React with Tailwind CSS.

Designeda Scalable and efficient backend with Node JS and Express for handling user authentication and message routing.

Ensured smooth performance and user experience through optimized code and best practices in modern web development.

Tech Stack: HTML, CSS, BootStrap, JavaScript, ReacJS, NodeJS, ExpressJS, Socket.io, MongoDB 2. DVK ORGANICS LINK DEC-2024

Build a dynamic e-commerce platform using JavaScript to sell organic farm produce, focusing on smooth user interaction and real-time functionality for a seamless shopping experience.

Developed an e-commerce website using HTML, CSS, and JavaScript to sell organic fruits and vegetables from my farm.

Implemented form validation of DOM-based item tracking to enhance user experience.

Created a custom API for seamless browsing and purchasing of products.

Designed a responsive and user friendly interface for smooth navigation across devices.

Expanded the reach of my organic farmby promoting sustainable produce to a wider audience.

Tech Stack: HTML, CSS, BootStrap, JavaScript.

3. VEHICLE SPOTTING IN NIGHT TIME LINK DEC-2024

Developed a python project using OpenCV for image transformation and Object Detection, enhancing visual clarity and object recognition.

Applied Gamma Correction to improve image illumination and visibility, making objects more distinguishable in varying lighting condition.

Used Haarcascade classifier to accurately detect and classify vehicles/Objects.

Integrated transformation and detection techniques to enhance accuracy and reliability.

Ensuring improved performance for real-world techniques to enhance accuracy andreliablity.

Tech Stack: Python

TECHNICAL SKILLS

FRONT-END: HTML, CSS, BootStrap, Tailwind CSS, Java script, React JS BACK-END: Python, Oops, Node JS, Express JS

TOOLS: Git, GitHub,VS code

DATABASES: MySQL, MongoDB

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