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Rasuri Vignesh
Full Stack Java Developer

Rasuri Vignesh

Building reliable digital experiences with scalable architectures, modern frameworks, and clean code.
Explore Work 📬 Contact Me 📄 Resume
$ whoami
Rasuri Vignesh
$ ./status
Learning • Building • Optimizing
$ ./current_focus
System Design • Microservices • LeetCode
⤷ ready to build_
Here is a little background

About

Hey 👋🏼 I am a Full Stack Java Developer currently based in India.

I am currently pursuing my B.Tech in Computer Science Engineering at Woxsen University. My primary focus is on building scalable backend systems, modern full-stack applications, and clean user experiences.

I enjoy working across the entire development lifecycle — from designing APIs and databases to crafting responsive frontend interfaces. I am deeply interested in system design, microservices architecture, AI-powered applications, and real-world software engineering challenges.

Beyond development, I actively solve coding problems, explore emerging technologies, and continuously improve my problem-solving skills through competitive programming and personal projects.

Tech Arsenal

Impactful Stack

Core Languages

Java
Python
JavaScript
HTML5

Backend & Cloud

Spring Boot
FastAPI
PostgreSQL
AWS
Docker

Frontend & Tools

React
Tailwind
Git
Figma

Projects

QUASAR

Project 1: QUASAR

Live Demo GitHub

Quasar is a collaboration platform that I developed to help students and developers find projects, build teams, and work together more efficiently. I wanted to create a system that goes beyond simple project listings by using AI-powered recommendations to intelligently match users based on their skills, interests, and experience. The platform includes real-time chat, task management, authentication, and project collaboration features, and was built using Spring Boot, React, PostgreSQL, WebSockets, and a Python-based recommendation engine.

MergeRank

Project 2: MergeRank

Live Demo GitHub

Competitive programming analytics aggregating LeetCode, GitHub, Codeforces & more into one dashboard with AI-powered weak-area detection and mentor view. This project aims to help developers track their progress across multiple platforms in a single, unified interface.

SEWA

Project 3: SEWA

GitHub

Sepsis Early Warning Agent — real-time ICU decision-support using LSTM + XGBoost risk models with SIRS/qSOFA screening and auditable alerts. Developed to assist healthcare professionals in early detection and intervention for critical patient conditions.

Competitive

Coding Profiles

GITHUB
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LEETCODE
LeetCode stats
Achievements

Certifications

Java Full StackUdemy
JPMorgan SE VirtualForage
AWS Solutions Arch.AWS
Let’s connect

I’ve got what you need. Let’s talk.

vignesh.rasuri2004@gmail.com
LinkedInResume