Md Raisul Islam Rimon

Machine Learning Engineer

Machine Learning Engineer passionate about turning data into impactful solutions.
Skilled in Python, data analysis, and building scalable ML models, with a focus on creating AI that makes a real difference.

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Core Competencies

Machine Learning & AI

  • Deep Learning & Neural Networks
  • Computer Vision
  • Natural Language Processing
  • Data Analysis & Visualization

Programming Languages

  • Python (Advanced)
  • C++ (Proficient)
  • C# (Proficient)
  • JavaScript/HTML/CSS

Tools & Frameworks

  • TensorFlow / PyTorch
  • Jupyter Notebooks
  • Git Version Control
  • API Development

Highlighted Projects

Abstract neural network illustration representing machine learning

MealMate: An AI chatbot for food delivery system.

Dialogflow • FastAPI • MySQL • HTML • CSS

MealMate is an AI chatbot that makes food ordering fast, easy and hassle-free through simple conversation using Dialogflow and FastAPI mainly.

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Abstract neural network illustration representing machine learning

Machine Learning Portfolio

Python • Scikit-learn • TensorFlow

Comprehensive machine learning portfolio demonstrating expertise from fundamentals to advanced implementations. Features data preprocessing, classical algorithms, deep learning models, and production-ready API development with documented best practices.

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Digital brain representing deep learning

Deep Learning Implementation

Python • Jupyter Notebook • CNN

Handwritten digit recognition system using convolutional neural networks. Complete end-to-end implementation including data preprocessing, model architecture design, training optimization, and performance evaluation with detailed visualizations.

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Educational Background

BSc in Computer Science and Engineering

Uttara University, Bangladesh

Currently enrolled · Average CGPA: 3.84 / 4.00 (last 5 semesters)

Higher Secondary Certificate (HSC)

Government Science College, Bangladesh

GPA: 5.00 / 5.00

Secondary School Certificate (SSC)

Shaheed Police Smrity College, Bangladesh

GPA: 5.00 / 5.00