Open to Internships & Full-time

Hi, I'm Rasuri Vignesh

Full stack developer building real-time, AI-powered apps with Java & Spring Boot.

Rasuri Vignesh
$ cd about_me/_
Rasuri Vignesh

# About Me

Full Stack Developer

Software Developer with hands-on experience in full-stack development, real-time systems, and ML-based applications. Currently pursuing B.Tech in Computer Science Engineering at Woxsen University with a strong focus on backend development, REST API design, and system thinking. Actively practicing Data Structures and Algorithms to prepare for Software Development Engineer (SDE) roles. Passionate about building scalable applications and solving complex problems.

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# Tech Stack

Java
Python
JavaScript
HTML
CSS
React
Bootstrap
Tailwind
Spring Boot
Spring AI
FastAPI
MySQL
PostgreSQL
MongoDB
Redis
AWS
Docker
Linux
Git
GitHub
SSH
RESTful APIs
Swagger
JPA
Postman
Bash
VS Code
Jupyter
Figma
Notion
Photoshop
MS Office

# Projects

quasar
Quasar

Quasar

A cloud-based student collaboration platform where students discover projects by skill, form teams, and manage collaborative work — all in one place. Features pgVector-powered project recommendations, real-time WebSocket chat, JWT role-based access, an invitation workflow, document sharing, and meeting notes. Backed by 35+ REST APIs documented via Swagger, deployed on AWS EC2.

Tech Stack

pgVector

MergeRank

A competitive programming analytics platform that aggregates student activity across LeetCode, GitHub, Codeforces, CodeChef, and HackerRank into a single dashboard. Features batch-scoped leaderboards so students rank within their class — not against millions globally — boosting morale and visibility. Mentors get a class-wide view with placement readiness scores, inactivity alerts, and CSV exports. Includes an AI-powered weak-area detection engine that recommends the next problems and topics based on each student's solve history.

Tech Stack

mergerank
MergeRank
sewa
sewa

SEWA

SEWA (Sepsis Early Warning Agent) is a real-time clinical decision-support system built for Intensive Care Units (ICUs). The system monitors continuous patient vital signs and intermittent laboratory results, applies rule-based screening (SIRS, qSOFA) and an ML-based risk model (LSTM + XGBoost), and delivers explainable, auditable alerts to clinical staff — enabling earlier intervention and reducing sepsis mortality

Tech Stack

My Achievements

# Certifications

Java Full Stack Development Udemy
JPMorgan Software Engineering Forage
AWS Solutions Architecture Amazon Web Services

Activity

# Coding Statistics

GitHub Contributions
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LeetCode

LeetCode Stats

# Contact

Get in Touch

Whether you have a question, want to collaborate, or just want to say hi, feel free to reach out!

Message sent! I'll get back to you soon.

Copyright © 2026 by Rasuri Vignesh. All Rights Reserved.

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