Malang, Indonesia/Open to internships & collaborations
VOL. 1 — ISSUE 01
Malang, IndonesiaVOL. 1 — The Project Lead
Software engineering · Machine learning · From brief to delivery
Scene 03
Software engineering, or a data role where the output actually gets used. On-site around Malang or remote.
raihanakbarpp20@gmail.com
Contact panel · page 07
Scene 03 · What comes next
Scene 02
Scoutify — the football scouting app. Flutter in front, FastAPI and a trained KNN model behind it.
Scene 02 · The build
Meanwhile, at a keyboard…
Open to internships & collaborations
PlateNo. 01 · WIB (UTC+7)
Scene 01 · The portrait
Informatics Engineering student at Politeknik Negeri Malang, building software end to end. That means the database schema, the API, and the interface on top of it — with machine learning on the side. I lead software and organisational initiatives as a project manager: the part where a messy brief turns into a plan, and the plan turns into something shipped. Off the keyboard I run internal development programmes and teach literacy at local orphanages with Polinema Mengajar.
Filed under: Software engineering, Machine learning, From brief to delivery. Malang-based, WIB, usually mid-refactor.
Plate 01 · WIB (UTC+7)
By the numbers
The file
The short version
Software end to end. Plan first, then build — and the deadline is not a suggestion.
Fun factI have taught reading to kids at local orphanages. It is the toughest audience I have ever had to hold — and the only one that claps when the story ends.
Showing everything · 2 shipped, 1 in progress
A lab website for Polinema's Mobile & Multimedia Lab, with an admin panel for news, projects and gallery.
Project manager, backend & machine learning
A scouting app that measures how closely a player fits a tactical brief, then explains the score.
Next milestone: Export the trained KNN and SHAP artifacts from the notebook and switch the app off mock data.
Studying informatics with an emphasis on software engineering and machine learning. Most of the degree happens outside the lecture hall: building software with a team, then being the person who keeps the team on schedule.
Keeping a volunteer organisation cohesive is its own engineering problem. I manage internal affairs, coordinate bonding initiatives, and make sure members stay engaged enough to keep showing up — then spend the rest of the time teaching children at local orphanages.
Led the committee behind an internal training day for members, built around public speaking and making a LinkedIn profile actually work. Owned it end to end: the concept, the team, the budget of attention, and the guest speakers.
Two programmes back to back: a study visit to a local orphanage, then a national seminar with a hands-on workshop. I planned, prepared and distributed everything the events needed, and stayed on site for the troubleshooting nobody puts in the rundown.
Volunteered for a childhood literacy programme: interactive group reading, storytelling, and learning games designed to make reading feel like the reward rather than the homework.
Part of the crew running the orientation for the incoming Information Technology cohort — venue setup, equipment distribution, and the operational support that makes a first week feel organised instead of chaotic.
My first taste of running an operation rather than a task. Eighteen months of stage builds, equipment runs and on-site fixes across a full event series — plus a stint on the creative and documentation team for Duta Bhaskara.
The part people actually see.
HTML & CSS
Semantic markup, responsive layouts
Tailwind CSS
Utility-first, token-driven styling
JavaScript
DOM, fetch, small interactions
Blade
Laravel templates, layouts, components
Where the data actually lives.
PHP
Two shipped projects, one with no framework
Laravel
Routing, Eloquent, migrations, Blade views
MySQL
Schema design, relations, queries
FastAPI
Scouting API over a model registry
Not just coursework — one real model, shipped behind an API.
Python
Notebooks, pandas, model experiments
pandas & NumPy
Cleaning and shaping datasets
OpenCV
Image processing, colour spaces
scikit-learn
KNN training, evaluation, model export
Jupyter
Reproducible analysis write-ups
Half tools, half the job of keeping a team moving.
Git & GitHub
Branches, pull requests, deployed repos
Vercel
Deploys, env vars, serverless PHP
Figma
Design reference and handoff
Project management
Planning, delegation, delivery
Public speaking
Committees, seminars, workshops
Advanced means I have shipped it and debugged it under pressure. Intermediate means I am productive without supervision. Beginner means I know enough to be dangerous — and I say so on purpose.
The things people ask before an internship interview. If yours is not here, just email me — I answer every message.
Still curious?Ask me anything — stack, availability, or whether the comic theme is negotiable (it is, a little).
Go to contactDirect line
raihanakbarpp20@gmail.comReplies within one working day. No form, no gatekeeping, no “circle back next quarter”.
Answers are in the big panel →
the short version: email works.
Software end to end: a Laravel or plain-PHP backend, a MySQL schema that survives real data, and a Tailwind front end that does not fight the user. That covers storefronts, company profile sites and internal dashboards — the admin panel on the lab site is session-login protected and written by hand. On the data side I work in Python: a KNN model served behind a FastAPI endpoint, plus computer-vision coursework.
6 questions · answers written by a human
Got an internship slot, a project, or a half-finished idea? Tell me what you are making and I will reply within one working day — even if it is just to say I am not the right fit.
Malang, IndonesiaWIB (UTC+7)
Direct line
Email is the fastest route — it reaches me on the device I actually answer. No form to fill in, nothing to get stuck behind a mail client.
Replies in ~1 working day · Malang, Indonesia