~/g8dr1ch /ˈɡɒd.rɪtʃ/ also godrich, getrich

Maths, systems
and software,
engineered end to end.

From raw external data to the product people use: acquisition, data architecture, backend, mobile, operations, and the models that decide what to do next.

systems.log
$ g8dr1ch --chain
→ acquire · normalise · match · validate
→ model · optimise · decide
→ backend · payments · search
→ mobile · games · release · QA
$ g8dr1ch --playground
C · C++ · C# · Python
$ g8dr1ch --principle
every claim ships with its evidence▌
// build

What the studio builds

One builder across the whole chain, so nothing gets lost between the data, the system and the people using it.

build_01.md01

Data pipelines

Repeatable pipelines that turn many outside sources into clean, structured data. Each source's structure and API reverse-engineered, then extracted, normalised, deduplicated, matched and validated. Never a blind import.

reverse engineeringETLdata quality
// samples
build_02.md02

Data architecture and matching

One canonical model that makes products from completely different sources a single coherent database, with matching pipelines, human review where it is uncertain, and image pipelines.

schema designmatchingimages
// samples
build_03.md03

Platform backend

Checkout, payments, refunds, vouchers, seller onboarding with identity checks, and search, across Go and Laravel services, each change shipped with its proof.

GoLaravelOpenSearch
// samples
build_04.md04

Mobile apps and games

Flutter apps on Android and iOS, from home feed and price charts to release delivery, and Unity games such as NETFORGE.

FlutterUnityAndroid · iOS
// samples
build_05.md05

Modelling and optimisation

A business problem turned into an algorithm or an equation, then into a working program that management can decide with.

applied mathsoptimisationdecision models
// samples
build_06.md06

Manufacturing and operations systems

Supply chain and inventory analysis, product identification systems from architecture to prototype, IoT and machine-learning monitoring, CAD and technical drawing.

supply chainIoTCAD
// samples
build_07.md07

Quality, release and incidents

QA frameworks and device-fleet testing on Android, iOS and web, production regression, and root-cause tracing when things break.

QAreleaseforensics
// samples
build_08.md08

Process modelling and automation

Seller and fulfilment models mapped end to end, browser automation, and tooling that turns operational guesswork into systems.

process mapsPlaywrighttooling
// samples
build_09.md09

Analytics and reporting

Measurement that separates real money from noise, and executive reports built from the settled ledger.

GA4SQLreporting
// samples
build_10.md10

Research

Applied research in product similarity and matrix factorisation, published as first author in Procedia CIRP.

SVDengineer-to-order
// samples
// founder

Who builds it

Ignatius Vito

Bandung Institute of Technology · Industrial Engineering, B.Sc. · 2019 – 2024
2025 – now
System and Ops Engineer
Collectibles marketplace: system architecture, backend, mobile development, operations, QA and release
2025 – now
Data Engineer and Analyst
Collectibles marketplace: data pipelines, catalog and data architecture, analytics and reporting
2026 – now
Inventory Systems, client build
Trading-card art brand: automated restock, inventory management and catalog audit
2024 – 2026
Project Officer, system architecture
Corporate management consulting: models and programs for executive decisions
2023 – 2024
Manufacturing Engineer
Automotive manufacturing: supply chain, inventory and a product identification system
2023
Operations, system and facility planning
Poultry agribusiness: IoT and machine-learning growth monitoring
2022 – 2023
CAD Designer and Drafter
Mining: 3D design and technical drawing for installation upgrades
2021 – 2022
Research Assistant
Operations and financial management laboratories, Bandung Institute of Technology
// research

Research and recognition

paper_01.md2025

Similarity Identification System Design for Engineer-to-Order Products with SVD Matrix Factorization

Procedia CIRP 134 (2025) 657–662 · first author

read_paper ↗
  • Grand Finalist, Intel International Science and Engineering Fair2018 · Engineering Mechanics
  • Gold Medalist, Olimpiade Penelitian Siswa Indonesia2017 · Engineering Mathematics
  • Gold Award and Best Innovation, Sagasitas Research Competition2018 · Electrical Engineering
  • Bronze Medalist, Sagasitas Research Competition2017 · Engineering Mechanics
  • Finalist, Festival Inovasi dan Kewirausahaan Siswa Indonesia2016
// lab

On the bench

Studio projects in progress. Private for now.

lab_01.mdvision

Image generation and computer vision

A study engine for image models, built from the maths up.

PythonPyTorch
// samples
lab_02.mdimages

Image processing pipelines

Automatic cropping, certificate image retrieval and asset packs, run as batch tools.

Pythonautomation
// samples
lab_03.mdmarkets

Market analysis terminal

Honestly sourced data, with every number computed by the engine.

dataanalytics
// samples
lab_04.mdagents

Self-hosted agent platform

Automated agents on one low-cost server, with retrieval and trust scoring.

retrievalself-hosted
// samples
lab_05.mdmusic

Procedural music

A game soundtrack written as code, chord by chord.

synthesisUnity
// samples
lab_06.mdprivacy

Privacy-first social prototypes

A discovery feed and a chat with end-to-end encryption.

E2EWorkers
// samples
// contact

Start a conversation

Tell the studio what you are building. The form opens your own mail app with the message filled in; nothing is stored here.

new_message.sh
$ topic

or write directly: [email protected] · github.com/g8dr1ch · based in Indonesia, working remote worldwide