This Is

Devasurya S

B.Tech Information Technology graduate from Chennai, crafting scalable full-stack applications — from luxury e-commerce storefronts to IEEE-published ML security systems and ambient smart-home interfaces. Java at the core. Design at the surface.

Devasurya S.
Open to Opportunities
B.Tech IT · 2026 IEEE Published 97% ML Accuracy
Devasurya S·Software Engineer·Java Developer·Full Stack Developer·ML Enthusiast·IEEE Published·Available for Opportunities· Devasurya S·Software Engineer·Java Developer·Full Stack Developer·ML Enthusiast·IEEE Published·Available for Opportunities·
My Craft

Skills & Capabilities

The instruments behind every build

Who I Am

Full Stack Engineer & Java Developer

Motivated, detail-oriented engineer passionate about building scalable, real-world software from the ground up.

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In Detail

What Drives Me

Strong foundation in Java, React.js, Node.js and Data Structures. I build real, working products — not just prototypes — with clean architecture and an eye for design. Continuously growing through modern SDLC practices and research.

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Programming Languages

JavaJava PythonPython JavaScriptJavaScript

Web & Frameworks

ReactReact.js Node.jsNode.js Spring BootSpring Boot HTML5HTML5 CSS3CSS3 BootstrapBootstrap

Database & Tools

MySQLMySQL GitGit GitHubGitHub VS CodeVS Code
The Journey

Education

The foundation that shaped my path

Oct 2022 — Apr 2026

B.Tech — Information Technology

Panimalar Engineering College, Chennai

JavaFull StackData StructuresWeb Development
Jun 2021 — Mar 2022

HSC — Class XII

Shri Renuga Vidhyalayam Matric Hr. Sec. School, Theni

Science Stream
Jun 2019 — Mar 2020

SSLC — Class X

Shri Renuga Vidhyalayam Matric Hr. Sec. School, Theni

Foundation
Selected Work

Projects

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01

Zafran

E-Commerce · UI/UX

Premium men's fashion storefront with 62+ products, live cart, wishlist, color variants — built with zero dependencies.

HTML5CSS3Vanilla JS
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02

EMI Kit

Finance · Calculator

Real-time EMI calculator with month-by-month amortization schedule, total interest and payment breakdown.

HTML5CSS3JS ES6
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03

SSH Sentinel

AI · Cybersecurity

ML-based intrusion detection system achieving 97% accuracy. Random Forest + XGBoost. IEEE Research Paper published.

PythonXGBoostMySQL
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04

AURA

Smart Home · Ambient UI

Nextgen glassmorphic interface that reads biometric signals — HRV, stress, sleep — and predictively adjusts a room's light, temperature and scent before you feel the need.

HTML5TailwindJavaScript
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Proof Of Work

Research & Achievements

Where engineering meets academic impact

AI-Based SSH Brute Force Attack Detection System

Nov 2025 — Apr 2026
Independent Research · IEEE Conference Paper · Published
  • Developed an ML-based system to detect SSH brute force attacks using behavioral analysis and log monitoring.
  • Implemented Random Forest and XGBoost classification models for high-accuracy threat detection.
  • Engineered feature extraction pipeline from raw SSH authentication logs with custom preprocessing.
  • Published findings as an IEEE research paper — contributing to the field of network intrusion detection.
0%
Model Accuracy
0%
False Alerts Reduced
IEEE
Published Paper
2
ML Models Used
Certification

Python Programming

GUVI Geek Networks — Google for Education Partner  |  Aug 2023

Publication

IEEE Research Paper

AI-based SSH Intrusion Detection System

Achievement

97% ML Accuracy

Random Forest & XGBoost on cybersecurity dataset

What's Next

Roles I'm Targeting

Open to full-time roles, internships & collaborations

Java
Java Developer
Core Java · Spring Boot
React
Full Stack Developer
React · Node · MySQL
JS
Software Engineer
Entry Level · Agile · SDLC
Frontend
Frontend Developer
React · HTML · CSS
Backend
Backend Developer
Java · REST APIs
Python
ML / Security Analyst
Python · XGBoost
Get In Touch
Let's build something remarkable together.

Have a role, internship, or project in mind? I'm actively seeking entry-level software development opportunities. I reply within 24 hours.

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Download Resume (PDF)
Available for opportunities — Response within 24 hrs