VISIONNEURALDATA+1COMMERCE
Independent · GCC · Singapore · Malaysia · Worldwideمستقل — متاح للعمل عن بُعدSelamat datang

Engineeringintelligent systemsfor the real world.

specialty:AI / ML.computer vision.marketing automation.LCL shipping.e-commerce.AI / ML.

I engineer production-grade AI and machine learning systems for businesses that need real outcomes — computer vision at theme-park scale, intelligent e-commerce with marketing automation, and LCL freight consolidation tools that ship to enterprise clients across the GCC, Singapore, and Malaysia.

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What I do

Six lanes of work I ship in production. Pick one — I can talk specifics.

◆ 01

Computer Vision

Face & object detection at scale, OCR pipelines, photo-matching for theme parks, real-time inference on commodity GPUs.

◆ 02

AI / ML Engineering

Model fine-tuning, LLM integration, RAG systems, evaluation pipelines, and shipping ML to production reliably.

◆ 03

Automation & Backend

Python · Node.js · workflow automation, scrapers, internal tools, REST/GraphQL APIs, queue-based processing.

◆ 04

E-commerce & Group Buy

Group-buy platforms, multi-vendor stores, payment integration, inventory sync, and shop dashboards for SMBs.

◆ 05

Shipping & Logistics (LCL)

LCL consolidation tools, freight tracking, customs documentation, route planning, and freight cost calculators.

◆ 06

Accounting & Bookkeeping

Double-entry systems, automated reconciliation, VAT handling for GCC, monthly close, and financial reporting.

Computer VisionAI / ML EngineeringPython · Node.jsE-commerceGroup BuyLCL ShippingMarketing AutomationTheme Park PhotoSelamat datangGCC · SG · MYComputer VisionAI / ML EngineeringPython · Node.jsE-commerceGroup BuyLCL ShippingMarketing AutomationTheme Park PhotoSelamat datangGCC · SG · MY
Selected work

Selected work

Real systems, real users. Tap any project for the full case study.

FACE_MATCH99.2%~40M/SEASON
Computer Vision · Production

Theme Park Photo Engine

Match-and-deliver pipeline that processes millions of ride photos per season — face matching, watermarking, and on-demand delivery to guest portals.

PythonPyTorchOpenCVFastAPIPostgreSQL
READ CASE STUDY
5+ buyers$4820+ buyers$36$34$32★ POPULAR50+ buyers$24▲ MORE BUYERS · LOWER PRICE
Full-stack · E-commerce

Group-Buy Marketplace

Tiered group-buy mechanics — the more buyers join, the lower the unit price. Vendor onboarding, escrow, and shipping cost split across the cohort.

Node.jsReactStripeRedisMongoDB
READ CASE STUDY
CONSOLIDATED87% UTIL→ DXB
Logistics · Internal tools

LCL Freight Console

Container consolidation planner — packs LCL shipments by volume, weight, and destination port. Auto-generates customs forms and arrival ETAs.

PythonNext.jsTypeScriptPostgresRedis
READ CASE STUDY
P&L · MoM↗ +18%VAT 5%
Accounting · SaaS

Bookkeeping Suite

Double-entry ledger with bank-feed reconciliation, GCC VAT module, multi-currency support, and one-click monthly P&L for SMB owners.

Node.jsPostgreSQLReactPlaidTensorFlow.js
READ CASE STUDY
triggerscrapetransformdeliverEVENT-DRIVEN · ~600 RUNS/DAY
Workflow · Internal

Automation Pipelines

Headless scrapers, ETL flows, and event-driven internal tools that replaced manual ops work — saving teams hours every day.

PythonPlaywrightCeleryRedisPostgres
READ CASE STUDY
DEFECTYOLOV8 · 24FPS · 0.3% MISS
Computer Vision · Industry

Vision Quality Control

Defect detection on production line photos — flags anomalies, tracks per-shift quality scores, and routes flagged items for human review.

YOLOv8PythonFastAPIDockerONNX Runtime
READ CASE STUDY
VAT{"invoice_no":"INV-7842""date":"2024-11-15""vendor":"Al Falah LLC""total":4,238.50}EXTRACT · 97.4% ACCURACYAR · EN · MIXED
Computer Vision · Document AI

Document Intelligence Suite

OCR + LLM pipeline that extracts structured data from invoices, IDs, and customs forms — handles bilingual Arabic/English layouts, stamps, and noisy scans from phone cameras.

PythonDonutTesseractGPT-4VFastAPI
READ CASE STUDY
Al Aroosa Storeonlinedo you have abayas?Black AbayaAED 2453 sizes availableTap to add to cart →I'll take size MOrder #2847Paid · ships tomorrow▶ INTENTparsed▶ CATALOGmatched▶ ORDERcreatedLLM ◇VECT ◇PAY ◇WHATSAPP-NATIVE COMMERCE
Conversational Commerce · LLM

WhatsApp Commerce Engine

WhatsApp-first storefront with LLM-powered product search, cart, checkout, and order tracking — built for GCC and South Asian SMBs who already sell on WhatsApp but lack systems behind it.

PythonWhatsApp Cloud APIOpenAIPostgreSQLRedis
READ CASE STUDY
policy.mdspec.pdfwiki.mdslack.txtVECTOR SPACE3 matches"what's ourVAT policy?"Answer:VAT is 5% acrossall GCC emiratesexcept KSA whichapplies 15%.[1][2]RAG · 94% GROUNDEDCITATION-REQUIRED
AI / ML · Internal SaaS

RAG Knowledge Assistant

LLM assistant grounded in company docs — Slack/Drive/Notion ingestion, semantic search, source-cited answers, and a feedback loop that learns from corrections.

PythonOpenAIPineconeLangChainPostgres
READ CASE STUDY
Client words

What people actually said.

A small selection from Fiverr buyers across the US, UK, Canada, and Australia. Same voice, same standards, wherever the work lands.

Honestly above what I expected. Delivered clean, didn't pad the scope, didn't have to chase him once. Already booking the next gig.

[Replace · Buyer 1]
E-commerce founder · 🇺🇸 United States
Computer Vision · Photo pipeline
fiverr

Did in 4 days what my last dev couldn't do in three weeks. Just gets it. No drama.

[Replace · Buyer 2]
Operations manager · 🇬🇧 United Kingdom
Python automation · Web scraping
fiverr

Best money I've spent on Fiverr full stop. Communication is spot on and the build just works the way you'd want.

[Replace · Buyer 3]
Shopify store owner · 🇨🇦 Canada
E-commerce build · Shopify
fiverr

Mate, this guy is the real deal. Plenty of devs talk a big game — Arif actually delivers. 100% will use again.

[Replace · Buyer 4]
Agency director · 🇦🇺 Australia
AI / ML · Model integration
fiverr

Fixed a bottleneck we'd been living with for two years. In a week. Cannot recommend highly enough.

[Replace · Buyer 5]
Logistics coordinator · 🇺🇸 United States
LCL shipping · Internal tooling
fiverr

Saved us about 15 hours a week, no exaggeration. Knows GCC VAT inside out which was the dealbreaker for us.

[Replace · Buyer 6]
Finance lead · 🇬🇧 United Kingdom
Bookkeeping automation · VAT
fiverr
Experience

Where I've been

2023 — Now

CV Engineer · Theme Park Photo

Building real-time photo matching at scale — millions of guest photos sorted, watermarked, and delivered to portals every season.

2021 — 2023

ML Engineer · AI lab (inside the industry)

Mid-career stint inside an applied-AI lab — close to how production CV/ML systems actually get shipped, governed, and supported once they leave the notebook. The exposure shaped how I scope every project today: model choice is the easy part; evaluation, drift, and the human review loop are where most teams quietly lose.

2020 — 2021

Freelance · Fiverr (Top-rated)

Python automation, scraping, and small-business e-commerce builds for international clients.

Side · Ongoing

Business Admin · Shipping & Books

Hands-on experience with LCL freight ops, group-buy coordination, and bookkeeping for small importer businesses.

Get in touch

Let's build something

Cold mail welcome. I read every brief — replies within 48 hours.

hello@thearifoffice.comLinkedInGitHub
Replies within 48 hours
08/09·2024 — Now
Conversational Commerce · LLM

WhatsApp Commerce Engine

Al Aroosa Storeonlinedo you have abayas?Black AbayaAED 2453 sizes availableTap to add to cart →I'll take size MOrder #2847Paid · ships tomorrow▶ INTENTparsed▶ CATALOGmatched▶ ORDERcreatedLLM ◇VECT ◇PAY ◇WHATSAPP-NATIVE COMMERCE
Year
2024 — Now
Industry
Conversational Commerce · SMB
Scale
60+ stores · 4 countries
Role
Conversational Commerce · LLM
Overview

A turnkey WhatsApp commerce engine. Customers chat naturally — text, voice notes, photos — and the LLM understands intent, surfaces matching products, takes orders and payments, and pushes shipment updates back into the same conversation. Designed for merchants who already do business on WhatsApp and just want it to scale without leaving the app.

Challenges & Solutions
● Challenge 01

Intent ambiguity

Customers send mixed Arabic-English text, voice notes, photos, and slang; structured intents are the exception, not the rule.

▲ Solution 01

Multimodal pipeline

Voice → transcription, image → vision-tagged search, text → intent + entities; all funnel into a single conversation state machine.

● Challenge 02

Hallucination cost

An LLM that invents stock levels or prices loses real money and customer trust on the first wrong message.

▲ Solution 02

Tool-grounded LLM

Inventory, pricing, and order operations are tools the LLM must call; it cannot paraphrase stock or money figures, only quote tool output.

● Challenge 03

Channel constraints

WhatsApp Business API has strict template rules, 24-hour session windows, and tight rate limits per phone number.

▲ Solution 03

Template orchestrator

Auto-routes between session-initiated and template-initiated flows; respects the 24h window and queues marketing pushes intelligently.

● Challenge 04

Catalog chaos

Stores have product data scattered across Excel, Instagram posts, and previous WhatsApp messages — no clean source of truth.

▲ Solution 04

Catalog importer

Excel/Instagram/CSV → normalized catalog with per-image embeddings; product search works in either language by description, photo, or voice.

By the numbers
0%
Conversion lift
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Active stores
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Stack
PythonWhatsApp Cloud APIOpenAIPostgreSQLRedisStripeTap Payments (GCC)Shopify / WooCommerce syncMeta CatalogTwilio voice fallbackAramex / Smsa shippingGoogle Sheets (merchant ops)
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