Hello, I'm

Joseph S Mathew

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Final-year B.Tech Computer Science Engineering student at Govt. Model Engineering College, building backend systems, ML pipelines and things that ship.

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01 — About

A bit about me

I'm a Computer Science student who enjoys working across the stack — from designing FastAPI backends and real-time systems with Socket.IO, to building classical computer-vision pipelines and ML-driven fraud detection systems. I like projects that combine solid engineering with a genuine problem to solve, and I'm especially drawn to backend development, machine learning, computer vision and cloud infrastructure.

Currently

Final year B.Tech CSE @ Govt. Model Engineering College, KTU (2027)

Focused on

Backend Development, Machine Learning & Computer Vision

Interested in

Artificial Intelligence, Cloud Computing & DevOps

02 — Skills & Interests

What I work with

Technical Skills

Java Python MongoDB Git GitHub Socket.IO Data Structures & Algorithms Object-Oriented Programming

Soft Skills

Teamwork Communication Leadership Problem Solving

Interests

Backend Development Machine Learning Artificial Intelligence Computer Vision Cloud Computing DevOps

03 — Education

Academic background

Govt. Model Engineering College

2027

KTU · B.Tech in Computer Science Engineering

CGPA: 9.25

Loyola School

2023

ISC · 12th Grade

96.4%

Loyola School

2021

ICSE · 10th Grade

94.4%

04 — Work Experience

Where I've worked

Marketing Intern

Devou

2 Months
Jira Notion

Managed client outreach through telecalling, coordinated weekly content schedules using Notion, and tracked campaign tasks via Jira — contributing to the acquisition of new customers and clients.

05 — Projects

Things I've built

ResuMatch

Team of 2

Backend Developer · 4 Months

An AI-powered platform to analyse resumes, match candidates with relevant job listings and conduct mock interviews. Deployed the FastAPI backend on a DigitalOcean Droplet (Ubuntu VM) using Gunicorn and Nginx, with cloud-hosted MongoDB handling real-time multi-user sessions via Socket.IO.

FastAPI Python React TypeScript Axios Socket.IO Postman MongoDB GitHub DigitalOcean Nginx Gunicorn

Persistent Scene Change Detection

Team of 2

Computer Vision Engineer · 1 Month

A classical computer vision pipeline for detecting left-behind objects in fixed-camera surveillance video, built for PSCDL 2026 (Vehant Technologies) — ranked 1st in F1-Score (0.40) on the blind test set. Implemented a memory-efficient circular buffer sliding window, cutting memory footprint by 95% (3.4 GB → constant 186 MB), and deployed a live demo on Hugging Face Spaces.

Python OpenCV NumPy GitHub Gradio Hugging Face Spaces

FraudLens AI

Team of 4

Backend Developer · 3 Months

An automobile insurance fraud detection system integrating YOLOv11-based visual damage assessment with an ensemble ML model (SVM, RF, XGBoost). Implemented JWT-authenticated role-based access control and linked the Groq AI API for automated report generation and structured PDF claims.

FastAPI Python Supabase React TypeScript Axios GitHub Scikit-learn NumPy

06 — Contact

Let's build something

Open to backend, ML and computer vision opportunities. Feel free to reach out — I'm always happy to talk about projects, internships or just tech in general.

✉️ josephshibumathew@gmail.com GitHub LinkedIn