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Engineering
The broad foundation: product interfaces, services, integrations, architecture, automation, and the workflows that connect them.
About / Sultan Kautsar
I build practical systems across software engineering, AI, automation, and tracking infrastructure.
The work connects product, software, operations, intelligence, and measurement rather than treating them as separate disciplines.
Practice / 01
Engineering provides the foundation. AI and Tracking / MarTech extend that foundation where the problem calls for specialized systems.
01
The broad foundation: product interfaces, services, integrations, architecture, automation, and the workflows that connect them.
02
A systems discipline around models, including context, routing, memory, tools, workflows, evaluation, and deterministic checks.
03
Engineering for dependable measurement, from event design and server-side delivery to analytics, integrations, and data quality.
Experience / 02
The scope moves between building new systems and keeping existing platforms, measurement, and servers dependable in day-to-day use.
01
Founder & Engineer
I founded and operated an end-to-end web services practice, handling customer discovery, solution architecture, implementation, quality assurance, deployment, handover, and ongoing technical support.
02
Measurement implementation
I implemented conversion measurement for MediaConversion and European-market client projects, connecting website behavior to GA4 and Google Ads through GTM with Consent Mode v2.
03
Systems, web, and infrastructure
I work across Odoo systems, FlexyPack's web platform, custom WordPress development, the company's recruitment system, campaign landing pages, analytics, and server operations.
04
WordPress systems and operations
I built and maintained WordPress-based systems for client work, created advertising landing pages, managed infrastructure, and supported marketing measurement. I continue to hold server responsibilities across Breef Studio and FlexyPack systems.
Perspective / 03
A useful solution accounts for the interface, the services behind it, the operating workflow, and the constraints around all three.
Architecture becomes easier to reason about when responsibilities, data flow, checks, and failure paths are explicit.
Technical depth matters most when it produces a system that is understandable, observable, and useful under real conditions.
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