Full Stack
Flagship ProjectRightToKnow - RTI Management System
Smart RTI Filing & Tracking Platform
Role: Full Stack Developer
Status: Flagship Project
Tech Stack
Portfolio / AI Product Builder / 2026

AI & Data Science StudentFull Stack Developer &IoT Innovator
Building full-stack applications, AI solutions, and IoT systems for real-world problems.
Projects
Recruiters can scan the core project lineup quickly, then open detailed case studies for architecture, contributions, challenges, and impact.
Full Stack
Flagship ProjectSmart RTI Filing & Tracking Platform
Role: Full Stack Developer
Status: Flagship Project
Tech Stack
MERN Stack
Ongoing MERN ProjectMERN Learning Management System
Role: Admin Module Team Leader
Status: Ongoing MERN Project
Tech Stack
IoT / Embedded Systems
Featured ProjectSensor-assisted Rehabilitation Prototype
Role: IoT System Developer
Status: Featured Project
Tech Stack
About
Raja K C is an Artificial Intelligence and Data Science student building MERN stack applications, AI-assisted workflows, and IoT systems with clear product use cases.
I build software around practical problems: full-stack dashboards, REST APIs, AI prototypes, and IoT systems that connect data, devices, and users.
Currently pursuing B.Tech in Artificial Intelligence and Data Science at Nandha Engineering College, Tamil Nadu. My work is centered on React, Node.js, Express, MongoDB, TensorFlow, and embedded systems, with RightToKnow as my flagship full-stack platform and the College LMS Portal showing MERN team leadership.
2
Internships
3
Major Projects
Admin
Team Leader
MERN
Stack
Expertise
Technologies I use to build production-ready full-stack systems, AI workflows, and IoT prototypes.
Engineering Practices
A lightweight development workflow focused on version control, validation, deployment, responsive UI, and performance-aware delivery.
Portfolio updates follow a GitHub-first workflow with build verification before deployment and automatic publishing when changes are pushed to the main branch on Vercel.
Experience
June 2025 - July 2025
Deep Learning Intern
Built hands-on deep learning workflows by preparing datasets, training TensorFlow models, and improving model development discipline through iterative experimentation.
December 2025 - January 2026
AIML Intern
Developed machine learning practice through data analysis, feature preparation, Scikit-Learn modeling, and predictive modeling workflows using Python data libraries.
Growth Track
Academic focus, project-based practice, and hands-on implementation connected to real portfolio work.
Degree track
Academic Specialization
Applied through projects
Project-based learning
Built with prototypes
Hands-on implementation
Contact
For internships, full-stack roles, AI projects, or collaboration opportunities, contact Raja directly.