STUDENT
Hi, I am Muhammad Ferry Saputra
Personal Portfolio
A Developer & Student
Building Web Experiences
I build structured, usable, and visually clear web interfaces while growing through academic work in machine learning and deep learning.
My strongest confidence is in frontend development and website creation, supported by full-stack projects and a 5-month cybersecurity red team bootcamp.
About Me
Best direction: web developer in progress.
I am currently in my 6th semester, developing my academic foundation while continuing to build practical software projects. My coursework has pushed me toward machine learning and deep learning, but my strongest personal interest remains in web development.
Developer & student with a practical build mindset.
I enjoy turning ideas into structured, usable products. My project history includes full-stack web applications, machine learning interfaces, classification tools, and real-time web experiences.
My red team bootcamp background helps me approach software with stronger awareness of systems, risk, and application security. I am still growing, but I care about building interfaces that are clear, maintainable, and useful.
Tech Stack
Tools and technologies I have worked with.
My stack reflects web development as the main focus, supported by backend, machine learning, and real-time application experiments.
HTML, CSS, JavaScript, TypeScript, React, Astro, Vite, Tailwind CSS
Laravel, PHP, Node.js, Express, MySQL
Python, TensorFlow, Streamlit, scikit-learn, Gradio
Git, GitHub, deployment workflows, project documentation
Projects
Selected work across web apps, ML interfaces, and real-time systems.
Each project is presented as a curated card with a meaningful title, short context, stack tags, and a direct repository link.
Organizational Inventory System
A full-stack inventory management system with catalog browsing, request approvals, role dashboards, Google authentication, and borrowing workflows.
Explore ProjectTomatoAI
A Streamlit-based tomato condition classifier using TensorFlow to analyze uploaded images and show prediction confidence.
Explore ProjectBird Song Classification
A machine learning exploration focused on classifying bird song audio and experimenting with audio-based prediction workflows.
Explore Project