D.F. Judin Joseph

B.E. Electronics & Communication Engineering
judinjosephroy@gmail.com
+91 8903213525  |  +91 9487166894
linkedin.com/in/judin-joseph
Eathavilai, Kanyakumari, Tamil Nadu
Career Objective
To apply my ECE knowledge in problem solving, Software Development and embedded systems to develop innovative solutions.
Technical Skills
Java Coding
Python Programming
Embedded Systems & IoT
SQL
Data Analysis
Core Competencies
Problem Solving
Python
Embedded
SQL
Soft Skills
Communication Teamwork Problem-Solving Critical Thinking Time Management
Personal Details
DOB: 23-02-2005
Languages: English, Tamil
Address: Eathavilai, 629166, Kanyakumari, TN
Extra Course: Java Coding
Education
2022–2026

B.E Electronics & Communication Engineering

Mar Ephraem College of Engineering and Technology, Elavuvilai

2021–2022

HSC – 58.5%

St Mary Goretty Higher Secondary School

2019–2020

SSLC – 61.5%

St Mary Goretty Higher Secondary School

Internships
Jul–Aug 2025

IoT Intern – KELTRON Company, Trivandrum

Hands-on experience in developing smart devices, sensors, cloud platforms for real-time data collection and automation. Enhanced skills in hardware programming, networking, and IoT-based application development.

IoT Sensor Integration Cloud Platforms Hardware Programming
2026

Intern – Schonen (AIML, Database, Web Design & Web Development)

Comprehensive internship program focused on Artificial Intelligence & Machine Learning, Database Management, Web Design, and Full-Stack Web Development. Gained hands-on experience in building intelligent applications, designing responsive interfaces, and managing data-driven systems.

AI & ML Database Design Web Design Web Development Full-Stack Responsive UI
Projects

🔥 Fire Safety Control & Monitoring

Feb 2025 – May 202

Developed a fire safety system using smoke, temperature, and flame sensors for real-time hazard detection and automated alerts. Enhanced reliability with continuous monitoring, improving early warning accuracy in residential and industrial environments.

🥥 Coco Seg – Defective Coconut Segregation

Final Year Project

Developed an automated system that detects defective coconuts using acoustic signal analysis. Implemented sound-based quality inspection using microphone sensors, signal processing, and machine learning to classify good vs defective coconuts.

Paper Presentation
“Wildlife Tracking and Conservation”
ELECTROMANIA 2K25 · National Level Technical Symposium
Loyola Institute of Technology and Science, April 2025
Workshops
SQL & C Programming Embedded System Architecture ARM Processor
Office Tools
Microsoft Word Microsoft Excel Microsoft PowerPoint
Built with ❤️ · D.F. Judin Joseph · 2026