Rizky Maulana
Saputra.
Machine Learning enthusiast and Informatics student with a strong interest in AI and data-driven systems.
Featured Projects
A selection of machine learning and data-driven projects I built while learning and experimenting with different models and technologies.
Freshwater Fish Disease Classification
Undergraduate thesis project comparing ShuffleNet, EfficientNet, ResNet, and MobileNet for freshwater fish disease classification using deep learning and computer vision.
SignArgi – Sign Language Recognition
Computer vision system that recognizes sign language gestures using a MobileNet-based CNN model. Designed as a prototype for real-time sign language translation.
GymBro – AI Fitness Chatbot
Fitness-focused chatbot application deployed using Gradio and HuggingFace Spaces.
GymBro – Exercise Classification Model
Computer vision model for recognizing workout exercises from images using a convolutional neural network. Deployed as an interactive demo using Gradio on HuggingFace Spaces.
Sentiment Analysis of MyTelkomsel Reviews
NLP pipeline analyzing Play Store reviews of the MyTelkomsel app using lexicon-based labeling, multiple feature extraction methods, and machine learning models.
Automated ETL Data Pipeline
End-to-end ETL pipeline that scrapes data from a web source, performs transformation, and loads it into structured datasets with automated testing for reliability.
Work & Project Experience
A collection of internships, freelance work, and technical projects focused on backend engineering, AI systems, and modern web development.
Backend Developer Intern
Media Sarana Digital
Developed and maintained RESTful APIs, integrated database systems, and supported backend feature implementation for internal web applications using Laravel and MySQL.
Machine Learning Cohort
Coding Camp powered by DBS Foundation
Completed an intensive machine learning program with hands-on development in data preprocessing, model training, and AI implementation. Contributed to a capstone project focused on building practical machine learning solutions using collaborative workflows.
Web Programming Teaching Assistant
Informatics Laboratory
Assisted students during web programming practicum sessions, guided frontend and backend development concepts, and helped troubleshoot coding and implementation issues.
My Certifications
A collection of certifications from courses and learning programs related to machine learning and data science.
Tech Stack
Technologies and tools I commonly use for machine learning experiments and building web applications.
About Me
Hi! I`m an Informatics student with a strong interest in Artificial Intelligence and Machine Learning. I enjoy learning how data can be used to build intelligent systems and solve real-world problems. Most of my recent work focuses on machine learning development, data processing, and experimenting with different models.
Currently, I’m exploring areas such as Computer Vision, Natural Language Processing, and data analytics while continuously improving my skills through projects and hands-on experimentation.
of Learning
Completed
Get In Touch
Let`s Connect
If you`d like to discuss a project, collaborate, or just talk about machine learning and technology, feel free to reach out. I`m always open to new ideas and opportunities.
Location
Surakarta, Jawa Tengah