Rifki Rosada | Remote contract engineer

Selected work

Case studies covering client systems, automation delivery, Android AI UX, and public Android + AI product work.

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Client systems and delivery

Primary commercial proof across CRM, automation, Android + AI UX, platform delivery, and supporting product work.

Client Systems

Client delivery

Enterprise CRM - Sales Pipeline & Performance System

Lead Full-Stack Engineer6-week delivery sprint

Gave the team one place to review pipeline movement, ownership, and performance snapshots without spreadsheet reconciliation.

  • Problem

    Pipeline updates and performance reporting were split across separate files, making weekly reviews slow and ownership hard to trust.

  • My scope

    Mapped sales stages, reporting rules, and operator roles before touching schema or UI.

  • Result

    Gave the team one place to review pipeline movement, ownership, and performance snapshots without spreadsheet reconciliation.

  • Laravel
  • Next.js
  • PostgreSQL
  • Docker
  • Nginx
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Automation Systems

Client delivery

Automation Workflows

Automation Engineer2-week delivery sprint

Reduced repetitive copy-paste work and improved visibility across inbound operations.

  • Problem

    Inbound orders and chat updates were copied manually into spreadsheets, producing inconsistent records and delayed follow-up.

  • My scope

    Implemented web-order-to-sheet automation with validation and normalization.

  • Result

    Reduced repetitive copy-paste work and improved visibility across inbound operations.

  • n8n
  • Google Apps Script
  • REST APIs
  • Google Sheets
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Android + AI

Client delivery

Media Android App - AI Chat + Search UX

Android AI UX Engineer3-week delivery sprint

Made the AI-assisted discovery flow clearer and more reliable from chat prompt to search result.

  • Problem

    Users lacked a clear transition from AI chat prompts to meaningful search actions, and state sync issues reduced UX reliability.

  • My scope

    Worked inside the existing WebView-based AI entry path so the feature fit the live app architecture.

  • Result

    Made the AI-assisted discovery flow clearer and more reliable from chat prompt to search result.

  • Android
  • Kotlin
  • WebView
  • Search UX
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Platform Delivery

Client delivery

Multi-Surface Platform Monorepo

Monorepo Platform Engineer4-week delivery sprint

Reduced release friction and dependency drift across the platform.

  • Problem

    Separate repositories for related surfaces caused dependency drift and slowed coordinated releases.

  • My scope

    Structured the repository with npm workspaces and clearer package boundaries.

  • Result

    Reduced release friction and dependency drift across the platform.

  • npm workspaces
  • Next.js
  • NestJS
  • TypeScript
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Supporting Delivery

Client delivery

Social Feed UI Fixes and Card Polish

Frontend Engineer2-week delivery sprint

Improved feed scanability through low-risk UI fixes that fit the existing product language.

  • Problem

    Social cards had uneven spacing and weak hierarchy, which made dense feed views harder to scan.

  • My scope

    Reviewed spacing rhythm, card hierarchy, and interaction cues in the existing feed.

  • Result

    Improved feed scanability through low-risk UI fixes that fit the existing product language.

  • Frontend UI
  • Responsive CSS
  • Design QA
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Public Android + AI products

Secondary proof through public Android, offline AI, and edge ML builds that stay relevant to product delivery.

Public Android + AI

Public build

OffScan AI

Android Product Engineer6-week build and release

Published an Android workflow that performs OCR locally without cloud upload requirements.

  • Problem

    Users needed OCR extraction with stronger privacy guarantees and no network dependency.

  • My scope

    Designed an offline-first OCR flow for camera capture and image import.

  • Result

    Published an Android workflow that performs OCR locally without cloud upload requirements.

  • Android
  • On-device OCR
  • Edge AI
  • Mobile Product
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Public Android + AI

Public build

I-ScanTea

ML Prototype Engineer5-week prototype

Demonstrated an on-device classification workflow for field capture scenarios.

  • Problem

    Manual quality checks required repeated visual comparison and lacked a fast digital workflow.

  • My scope

    Prepared the dataset and labeling workflow for the target classes.

  • Result

    Demonstrated an on-device classification workflow for field capture scenarios.

  • TensorFlow Lite
  • Android
  • Python
  • Edge ML
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Public Android + AI

Public build

Scanberry

Mobile Computer Vision Engineer4-week prototype

Validated a practical on-device scan flow for classification without cloud dependency.

  • Problem

    The workflow needed rapid classification support in environments with unstable connectivity.

  • My scope

    Built a lightweight model iteration and evaluation loop.

  • Result

    Validated a practical on-device scan flow for classification without cloud dependency.

  • Computer Vision
  • Android
  • TensorFlow Lite
  • Mobile UX
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