ARUL SELVAN K M
Building intelligent, production-shaped systems — from AI-powered security tools to full-stack platforms.
About
About Me
I'm a final-year BE Computer Science Engineering student with hands-on experience across full-stack development, AI/ML engineering, and UI/UX design. My passion lies in building intelligent, production-ready systems that solve real-world problems.
I've led award-winning projects including a government-funded, patent-filed IoT security system, built AI-powered detection and prediction systems, and shipped multiple full-stack platforms end to end. As a team lead at Smart India Hackathon 2025 and a presenter at AI ASCEND 2026 (AWS + KRYNDLE), I thrive in collaborative, innovation-driven environments.
My work spans from AI-powered security tools to full-stack platforms, always focusing on scalability, user experience, and technical excellence. I'm constantly exploring new technologies and pushing the boundaries of what's possible with modern web and AI technologies.
Each project has pushed me a step further — from building straightforward CRUD applications early on to architecting AI-integrated, cloud-backed systems today. That trajectory is what I bring into every new problem.
Added verified GitHub repositories for the Incident Traceability platform and IoT Warehouse Security System — closing the loop from concept to public, reviewable code.
Education
Academic Background
Bachelor of Engineering in Computer Science and Engineering
M. Kumarasamy College of Engineering, Karur
Focused on full-stack development, database management systems, artificial intelligence, software engineering principles, and data structures.
12th (Higher Secondary Education)
SRV Boys Higher Secondary School, Rasipuram
Core secondary coursework focusing on Mathematics, Physics, Chemistry, and Computer Science.
10th (Secondary School Education)
Sri Vidhya Mandir Matric. Hr. Sec. School, Gurusamipalayam
General matriculation curriculum focusing on science, mathematics, and primary computer courses.
Experience
Real-World Full-Stack Experience
Hands-on internship experience building a Bank Management System from UI to backend and cloud.
Yaazh Tech Pvt Ltd
Frontend Developer Intern (Java Full Stack Development)
- •Developed responsive UI using React.js
- •Integrated Spring Boot REST APIs
- •Provided backend support using Node.js
- •Handled database operations with MySQL
- •Explored cloud basics using AWS
- •Tested APIs with Postman
- •Used IntelliJ and Maven for development workflows
- •Version control and collaboration with Git and GitHub
Achievements
Achievements & Recognition
Built by a 4-member team as part of an MSME 4.0-funded initiative.
IoT-Based Warehouse Security System
₹12.5 Lakh government funding under MSME 4.0 scheme, patent filed. AWS Lambda + DynamoDB anomaly detection system.
Built around a Spring Boot backend that processes real-time sensor and RFID data, with AWS Lambda and DynamoDB powering anomaly detection on movement and access patterns. The system flags irregular entry attempts and inventory discrepancies as they happen, rather than relying on manual audits after the fact — the core reason it moved from a class project to a funded, patent-filed initiative.
Smart India Hackathon 2025
Team Lead - Led a team to build innovative solutions for real-world challenges.
AI ASCEND 2026
Presenter in collaboration with AWS + KRYNDLE - Showcased AI-powered innovations.
Projects
Featured Projects
Permission Abuse Detector
An AI-powered hybrid mobile security system that detects and flags abnormal permission usage patterns in real time, helping prevent unauthorized data access.
Used DynamoDB for its low-latency reads on permission logs, and paired it with an anomaly detection model to catch abuse patterns that static rule-based checks would miss.
Smart Canteen Management
A full-stack campus dining platform enabling students to pre-order meals and skip queues entirely, with live kitchen dashboards and real-time queue tracking.
Built the queue system to update live across student and kitchen views simultaneously, since a stale queue state would defeat the entire point of pre-ordering.
AI-Powered Incident Traceability & Recovery Platform
A platform for tracing, analyzing, and recovering from operational incidents using AI-assisted root-cause analysis, built with REST and GitHub API integrations.
Integrated directly with the GitHub API so incident timelines could be cross-referenced against real commit and deploy history, not just manually logged notes.
Plantar Wart Treatment Prediction System
A clinical decision-support system using machine learning to predict optimal treatment pathways for plantar wart cases, aiding faster, data-driven medical decisions.
Framed treatment selection as a supervised classification problem over structured clinical data, prioritizing interpretability so the model's reasoning stays useful to a clinician, not just accurate.
Projects
More Projects
Pet Care System
A management system for tracking pet health records, appointments, and care schedules.
Medication Reminder System
A DBMS-based system for scheduling and tracking medication reminders.
Online ERP System
A full-stack enterprise resource planning platform for managing organizational workflows.
Skills
Skills & Certifications
Technical Skills
Languages
Frontend
Backend
Database
Cloud & Tools
Domains
Certifications
Azure AI Fundamentals (AI-900)
Microsoft
Proctored ExamVerify
Azure AI Engineer Associate (AI-102)
Microsoft
Proctored ExamVerify
AWS Educate: Introduction to Cloud 101
AWS
Verify
Cybersecurity Fundamentals
IBM SkillsBuild
Verify
Getting Started with Artificial Intelligence
IBM SkillsBuild
Verify
Artificial Intelligence Fundamentals
IBM SkillsBuild
Verify
AWS Educate: Introduction to Generative AI
AWS
Verify
AWS Educate: Machine Learning Foundations
AWS
VerifyContact
Let's Build Something
Open to full-stack and AI engineering opportunities — reach out anytime.
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