Hi,
I'am Raghav

Passionate full-stack developer skilled in MERN, Docker, and cloud technologies. Exploring AI-driven solutions, serverless architectures, and DevOps.

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About

I'am Raghav

Passionate problem-solver with a knack for building scalable web apps and deploying Dockerized applications.

From crafting full-stack solutions to optimizing workflows, I turn ideas into seamless digital experiences.

Currently exploring AI-powered cloud solutions, serverless architectures, and container orchestration to redefine digital transformation.

Outside of tech, I'm an avid cyclist, and traveler, always seeking new challenges on and off the trail.

Let's connect and collaborate on cutting-edge AI cloud solutions that shape the future! 🚀

Skills

Profesional Skills

"Equipped with a strong grasp of full-stack development, cloud technologies, and DevOps. Proficient in MERN stack, Docker, and database management, with a knack for building scalable and efficient solutions."

DOCKER
50%
NODE.JS
75%
JAVASCRIPT
75%
MONGO DB
50%
REACT
40%
MYSQL
60%

Expertise

"These are some of the technologies I have expertise in. I have worked on multiple projects using these technologies."

HTML5
95%
CSS
85%
JAVA
70%
AWS
70%
TAILWIND CSS
85%
BOOTSTRAP
85%

Work

Lodgr Web App

Lodgr

Go-to platform for finding unique, hassle-free stays around the world. Find, book, and enjoy effortlessly.

AlgoVista Image

AlgoVista

AlgoVista is a Web Application to Visualize Pathfinding & Sorting Algorithms and Data Structures.

Gridplus Image

GridPlus

IBM Internship Project. GridPlus is a Cloud-based Smart Grid Solution for real-time monitoring, alerting, and management of electrical meters in industrial environments.

CoEdit Web App

CoEdit

Collaborative IDE built on Microservice Architecture. Uses WebSockets, Containers & Distributed Database.

Docker Project

My Docker Dockyard

A collection of containerized experiments, mastering Docker for scalability.

Visit GitHub
Binary Classification Web App

Decipher AI

A Machine Learning Web Application built with Streamlit where users can Train, Test & Monitor their own ML Models.

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