Rupam Bhattacharyya

Full-Stack Software Engineer & AI Researcher

Building intelligent systems at the intersection of ML, CV, and web development. GATE-2025 Qualified. Published Researcher.

View My Work Get In Touch

About Me

I'm a results-driven Full-Stack Software Engineer and AI Researcher with 6+ months of professional experience spanning machine learning, deep learning, and web development. Currently pursuing an M.Tech in Artificial Intelligence at NIT Agartala with CGPA 8.44/10.

My expertise lies in building production-ready AI systems—from model development to deployment. I'm passionate about solving complex problems through innovative technologies, with a strong focus on computer vision and predictive analytics.

When I'm not coding, you'll find me exploring new technologies, contributing to open-source projects, or working on research papers. I believe in continuous learning and staying at the cutting edge of technology.

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Months Experience

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Projects Completed

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Published Papers

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% Model Accuracy

Technical Skills

Programming

Python
Java
C
SQL

Web Development

HTML5 / CSS3
JavaScript
Django
REST APIs

Machine Learning

Deep Learning
Computer Vision
scikit-learn
TensorFlow

Tools & Platforms

Git / GitHub
Docker
AWS
Linux

Professional Experience

Machine Learning Engineer (Intern)

Varcons Technologies Pvt Ltd

October 2023 - November 2023

  • Developed Chronic Disease Prediction ML model with 89% accuracy
  • Executed complete ML pipeline: preprocessing, feature engineering, training, evaluation
  • Created data visualization dashboards using Matplotlib
  • Improved prediction accuracy by 12% through optimization

Master's Degree - AI Specialization

NIT Agartala

2025 - 2027

  • Advanced coursework in AI, ML, Neural Networks
  • CGPA: 8.44/10
  • Focus on production-ready AI systems

Bachelor's Degree - Computer Science

East Point College of Engineering and Technology

2021 - 2025

  • CGPA: 8.73/10 (First Class Distinction)
  • Specialized in Software Development & Database Systems

Featured Projects

Traffic Violation Detection System

YOLOv8 | OpenCV | EasyOCR | REST API | Python

Engineered end-to-end intelligent traffic system achieving 95% vehicle detection accuracy. Implemented real-time speed monitoring and automatic license plate recognition (92% accuracy).

Deep Learning Computer Vision Real-time Processing
GitHub Paper
Published

Art Gallery Management System

MySQL | HTML5 | CSS3 | PHP | Full-Stack

Full-stack web application managing 1000+ artwork records with secure authentication, role-based authorization, and automated inventory tracking. 40% operational efficiency gain.

Web Development Database Design UI/UX
View Project GitHub

Disease Prediction Model

scikit-learn | Python | Pandas | Matplotlib

ML model for chronic disease prediction achieving 89% classification accuracy on healthcare datasets. Improved prediction reliability by 12% through optimization and feature engineering.

Machine Learning Data Science Healthcare
View Project GitHub

Achievements & Recognition

GATE 2025 Qualified

Ranked in top 15% of all engineering graduates in India

Published Researcher

Published in International Journal of Advanced Trends in Engineering and Management

Academic Excellence

CGPA 8.73/10 (B.E) and 8.44/10 (M.Tech)

Real-World Impact

Traffic system recognized for potential deployment in smart city initiatives

Get In Touch

Let's Connect

I'm always interested in hearing about new projects and opportunities. Feel free to reach out!

Location

Agartala, India