Projects Experience

Innovative solutions in AI, Machine Learning, Computer Vision, and Software Development

10+
Projects
5+
Technologies
3+
Years Experience
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Academic Search Engine Module

Academic Search Engine Module

2024 - 2025

An Intelligent Search Engine Module for Academic Networks designed to index academic content and support efficient retrieval for research networks.

Python Flask TF-IDF
Tiny Object Detection Study

Tiny Object Detection Study

2023 - 2024

In-Depth Study of Tiny Object Detection Using Deep Learning. Investigated methods for detecting small objects in complex scenes using multi-scale feature fusion.

YOLOv5/v8 PyTorch OpenCV
Network Anomaly Classification

Network Anomaly Classification

2023

Built classifiers to detect anomalous network patterns using statistical and machine learning techniques. Improved detection recall through feature engineering.

Python Machine Learning Data Analysis
House Rent Price Prediction

House Rent Price Prediction

2022

Collected and preprocessed housing data to train regression models for predicting rent prices in Dhaka. Evaluated feature importance and provided actionable insights.

Python Pandas scikit-learn
Image Content Review System

Image Content Review System

2021

Developed an image content review system based on deep learning object identification. Identifies unwanted images from real-time videos using object detection.

Python Deep Learning Object Detection
Credit Card Fraud Detection

Credit Card Fraud Detection

2020

Developed a machine learning system to identify fraudulent transactions by applying classification algorithms and feature engineering techniques.

Python Machine Learning Data Analysis
Enterprise Web Applications

Enterprise Web Applications

2019 - 2020

Developed Spring-based Web Applications, SpringBoot, and Spring MVC projects for enterprise use cases and academic demonstrations.

Java Spring MVC SpringBoot

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Technologies I Work With

AI & Machine Learning

TensorFlow TensorFlow
PyTorch PyTorch
scikit-learn scikit-learn
OpenCV OpenCV

Programming Languages

Python Python
Java Java
JavaScript JavaScript
C++ C++

Data & Backend

MySQL MySQL
Spring Spring
Flask Flask
Pandas Pandas

My Project Approach

1

Research & Problem Definition

Thoroughly researching the problem domain and clearly defining project goals and requirements to establish a solid foundation.

2

Data Collection & Analysis

Gathering relevant data, performing exploratory analysis, and preparing datasets for model training and validation.

3

Model Development

Designing and implementing machine learning models or algorithms, with iterative testing and refinement.

4

Evaluation & Optimization

Rigorously evaluating performance, identifying weaknesses, and optimizing for better accuracy and efficiency.

5

Documentation & Knowledge Sharing

Creating comprehensive documentation and sharing findings through publications, presentations, or open-source contributions.

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