Hi, I'm Rama

Software Developer & ML Engineer

Passionate about building innovative solutions with cutting-edge technologies. Specializing in full-stack development and machine learning applications.

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About Me

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Software Developer & ML Engineer

I am a passionate software developer and machine learning engineer with expertise in creating efficient, scalable applications and data-driven solutions. With a strong foundation in computer science and a keen interest in artificial intelligence, I bring creative approaches to solving complex problems.

My journey in tech has exposed me to various domains including web development, mobile applications, data analysis, and machine learning systems. I continuously strive to learn new technologies and methodologies to enhance my skills and deliver high-quality solutions.

Name: Abdurrahim Ramadhan I.
Email: ramaabbyll@gmail.com
Degree: Computer Science
Location: Bogor, Indonesia
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My Skills

Programming Languages

Python

90%

JavaScript

85%

Java

75%

C/C++

70%

Web Development

HTML/CSS

95%

React

85%

Node.js

80%

SQL/NoSQL

85%

Machine Learning / Data Science

Data Analysis

85%

Machine Learning

90%

Deep Learning

80%

NLP

75%

Services

Web Development

Creating responsive, user-friendly websites and web applications with modern frameworks and technologies.

Machine Learning Solutions

Developing ML models and algorithms to solve complex problems and extract insights from data.

Data Analysis

Analyzing data to identify patterns, trends, and insights that drive business decisions.

My Projects

Web Project

Ram-AI: LLM-Powered Website Generator

An AI web app that turns text prompts into complete websites. Using Gemini LLM, I developed a tool that automatically generates HTML, CSS, and JavaScript files, making website creation incredibly fast and simple.

Python Flask Gemini
ML Project

Plant Detection CNN

A machine learning model that identifies four plant types (corn, cotton, rice, wheat) with 90% accuracy. By using Python and TensorFlow, I designed a smart agricultural recognition system that can distinguish between different crops.

Python TensorFlow CNN
ML Project

Bee Detection CNN

CNN model to classify different bee types with 81% accuracy. I developed this computer vision project to help understand and categorize bee populations more effectively.

Python TensorFlow CNN
ML Project

Employee Attrition Classification.

I built a neural network model to classify employee attrition using 32 employee features. Achieved 86% testing accuracy.

Python TensorFlow NN
Web Project

Random Aystul Quran

A website that can random quran verse

python flashk/span> PostgreSQL
ML Project

Tweet Sentiment Analysis:

I analyzed tweets from the 2024 Presidential Election Debate using a Naive Bayes algorithm. The project allowed me to extract emotional insights with 72% model accuracy, showcasing my data analysis skills.

Python Pandas Scikit-learn

Contact Me

Location

Bogor, Indonesia

Email

ramaabbyll@gmail.com

Phone

+62 821 4772 6866

Website

www.tsukiram.com