01
Engineering
End-to-end technical systems shaped around real operating constraints, from product interfaces and services to integrations, architecture, and automation.
- Product systems
- Web engineering
- Automation
- Architecture
Sultan Kautsar / Founder & Engineer
Systems, end to end
I build practical systems that work as one.
Connecting software, intelligence, and measurement from the product interface to the infrastructure behind it.
Expertise / 01
Engineering is the foundation. Specialization follows the problem.
02
Applied AI
AI treated as a systems discipline: context, model routing, memory, tools, workflows, evaluation, and the deterministic checks around them.
- Agents
- Model integration
- Tool use
- Evaluation
03
Tracking / MarTech
Measurement infrastructure engineered for dependable data flow, with deliberate event design, server-side delivery, analytics, and integration quality.
- Event design
- Server-side tracking
- Analytics
- Data quality
Technical work / 02
Selected systems built and operated under real conditions.
Project records across recruitment, web platforms, localized campaigns, and conversion measurement.
View the work index01
A Custom Recruitment System for FlexyPack
A purpose-built WordPress recruitment platform designed and developed from the ground up, with custom code and business logic supporting FlexyPack's hiring workflow.
FlexyPack
Custom WordPress / Recruitment workflows / Business logic / Server operations
02
FlexyPack's Web Platform and Localized Campaigns
A web platform built from the ground up and extended with focused landing pages for product-, region-, and market-specific advertising.
FlexyPack
WordPress / Localized landing pages / GA4 and GTM / Server operations
03
Consent-Aware Conversion Tracking
End-to-end GA4, Google Tag Manager, and Google Ads conversion tracking with Consent Mode v2 across MediaConversion, YogaBali, and Ihr Umzugsplaner.
MediaConversion and client projects
GA4 / Google Tag Manager / Google Ads conversions / Consent Mode v2
Writing / 03
Field notes begin with questions that survive implementation.
Selected notes on software boundaries, model control layers, and reliable measurement paths.
Visit the notes archive- AI Beyond Prompting: Context, Tools, Memory, and Checks
AI systems
01 - Why Server-Side Tracking Is an Engineering Problem
Measurement
02 - When Not to Abstract Your Code
Engineering
03
Contact / 04
Build something that has to work.
For product engineering, applied AI, measurement infrastructure, or a difficult problem between them.
Send an inquiry