Frontend engineer · Indonesia

Frontend
engineering
for the AI era.

I design and engineer fast, accessible product interfaces where design systems, browser performance, and intelligent workflows meet.

Engineering principles

02 / Selected systems

Work built around outcomes, not output.

A selection of product directions demonstrating how I approach intelligent workflows, live systems, and high-performance commerce.

01 Product interface

AI Workflow Studio

A human-in-the-loop workspace for turning model output into clear, reviewable decisions—designed around streaming states, confidence, and operator control.

  • Interface architecture
  • AI integration
  • Accessible states
System outcomeModel UX · Streaming UI · Human review
AI Workflow StudioLive system view
  1. 01Research briefReady
  2. 02Evidence review12 sources
  3. 03Human approvalRequired

02 Data-intensive UI

Realtime Operations

A dense operational view shaped for fast scanning, resilient updates, and confident action when live data changes by the second.

  • Realtime systems
  • Data visualization
  • Performance budgets
System outcome10k events/sec · Clear alert hierarchy
Realtime OperationsLive system view
  1. 01System health99.99%
  2. 02Active streams128
  3. 03Response time42ms

03 Conversion system

Adaptive Commerce

A fast storefront architecture where semantic discovery, intelligent recommendations, and an interruption-free checkout work as one system.

  • Design systems
  • Edge rendering
  • Experimentation
System outcomeCore Web Vitals · Adaptive discovery
Adaptive CommerceLive system view
  1. 01DiscoveryIntent-aware
  2. 02ExperiencePersonalized
  3. 03Checkout3 steps

03 / Engineering range

Beyond frameworks. Across the whole interface.

React and JavaScript are tools. The job is to connect product intent, interaction, systems thinking, and measurable quality.

  1. 01

    Interface engineering

    Production interfaces built from resilient primitives—not fragile page mockups.

    • Semantic HTML
    • Modern CSS
    • TypeScript
    • React / Next.js
  2. 02

    AI product experience

    Thoughtful interaction patterns for probabilistic systems and human judgment.

    • Model UX
    • Streaming states
    • Agent workflows
    • Evaluation loops
  3. 03

    Quality at scale

    Engineering decisions tied to the experience users actually feel.

    • Accessibility
    • Core Web Vitals
    • Design systems
    • Testing

04 / Working model

From vague idea to durable interface.

  1. 01

    Frame

    Turn ambiguity into a sharp product and technical brief.

  2. 02

    Model

    Define content, states, data flow, and component boundaries.

  3. 03

    Build

    Ship the smallest durable system with quality built in.

  4. 04

    Measure

    Use real signals to improve speed, clarity, and outcomes.

05 / Let's make it real

Building something ambitious for the web—or with AI?

I'm interested in frontend engineering roles where product quality, technical depth, and emerging AI capabilities matter.

arifinsam.sam@gmail.com