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Bency Saji

@bencysaji

Python developer who built a real-time object detection system with YOLOv8, OpenCV, and Django.

India
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At Luminar Technolab, I worked on Python, machine learning, data science, and computer vision projects. I built a real-time object detection system using YOLOv8 and OpenCV, then developed and deployed the application with Django.

At Faith Infotech Academy, I developed a Clinic Management System using Django REST Framework and AngularJS. I built REST APIs, implemented role-based access control, and tested and debugged the application.

My projects include a web application for detecting people and objects, with person counting, email alerts, and a monitoring dashboard. I also proposed an explainable AI framework for threat detection in my publication, “Edge-Optimized Cybersecurity: A Lightweight Explainable AI Framework.”

Experience

Work history, roles, and key accomplishments

FA

Python Django Full Stack Developer Intern

Faith Infotech Academy

Jun 2025 - Jul 2025 (1 month)

Developed a Clinic Management System using Django REST Framework and AngularJS. Built REST APIs, implemented RBAC, integrated AngularJS frontend with Django APIs, and performed testing and debugging.

Education

Degrees, certifications, and relevant coursework

MT

MACFAST College, Tiruvalla

Master of Computer Applications, Computer Applications

2024 - 2026

Grade: CGPA 8.31

Master of Computer Applications with CGPA 8.31, graduated in 2026.

NM

NPTEL IIT Madras

Python for Data Science, Data Science

2025 - 2025

Certification in Python for Data Science.

CI

Capital Infotech

Full Stack Web Development (MERN Stack), Web Development

2025 - 2025

Certification in Full Stack Web Development (MERN Stack).

MU

Mahatma Gandhi University

Bachelor of Computer Applications, Computer Applications

2021 - 2024

Grade: CGPA 7.97

Bachelor of Computer Applications with CGPA 7.97, graduated in 2024.

IN

Infodawn

PHP and MySQL Website Development, Web Development

2023 - 2023

Certification in PHP and MySQL Website Development.

SA

SNV HSS, Angadickal

Higher Secondary Education, Higher Secondary Education

Grade: 81.08%

Higher Secondary Education with 81.08%.

MS

Mary Matha Public School

SSLC, SSLC

Grade: 93%

SSLC with 93%.

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