Adit Rachman
Frontend Developer & Data Analyst
I create modern web applications and analyze data to build meaningful digital experiences. Currently focused on React, Next.js, and data visualization.
GitHub Activity
Contributions over the past year
👋About
I'm an Informatics Engineering student at Universitas Muhammadiyah Magelang, and I build things at the intersection of frontend and data. As a teaching assistant for the Database course, I spend my weeks explaining query plans and normalization to juniors — which turned out to be the best crash course in thinking about data as a system, not a spreadsheet.
My hands-on work mirrors that: React & Next.js for the interface layer, Python for analysis and machine learning, Firebase for the plumbing in between. I'm most interested in data-driven products — the kind that feel alive because they're actually reading signals, not static screens.
Right now I'm exploring predictive modeling on IoT sensor data, and an AI-assisted coding workflow I've been documenting on my blog. I'm looking for frontend, data, or full-stack opportunities — remote or in Magelang.
Skills & Technologies
Let's Work Together
If you have an interesting project or need someone with a mix of frontend and data analysis skills, feel free to reach out—I'd be happy to collaborate and bring your ideas to life.
💼Projects
VoxSwarm
Next.js & FastAPI
On Progress
VoxSwarm
Next.js & FastAPI
On Progress
A professional Behavioral Intelligence Engine that simulates social agents' reactions to specific topics and predicts social stability or volatility using real-time data analysis.
MauRun
Laravel 11 & Blade
Open Source
MauRun
Laravel 11 & Blade
Open Source
A race event registration platform for Indonesian running events — from 3K fun runs to full marathons. Handles event management with quota control, online registration, and discount codes, built on Laravel 11 with Blade, Tailwind CSS, and MySQL.
Manga Recommender
Python & scikit-learn
Open Source
Manga Recommender
Python & scikit-learn
Open Source
A content-based manga recommendation system built with the CRISP-DM methodology. Scores similarity by blending genre multi-hot encoding, synopsis sentence embeddings (all-MiniLM-L6-v2), and themes scraped from the AniList API — evaluated with Precision/Recall and MAP.
Read Manga Website
Next.js
Live
Read Manga Website
Next.js
Live
Manga reader built with Next.js, Firebase, and TailwindCSS. Features an admin panel and real-time update feed.
✍️Latest Writings
No posts yet
I'm working on some amazing content. Check back soon!