You will get AI invoice & document extraction with python fallback, runs on your machine
Rising Talent
Project details
I turn your invoices and receipts into clean, coded accounting data — on your machine, with your AI key: no per-page SaaS fee, and your data never leaves your computer. Every field gets a confidence score and click-to-source review, and each invoice is auto-coded to your chart of accounts. Built by a finance operator with 22+ years in multi-entity accounting — it understands VAT and chart-of-accounts, not just OCR.
Machine Learning Tools
ChatGPT, GPT-3, Microsoft Excel, PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $175
Additional Revision
+$40
Data Source Connectivity
(+ 5 Days)
+$300
Extra document type / schema
(+ 2 Days)
+$100
Bank statement / line-item extraction
(+ 3 Days)
+$200
Custom AI provider integration
(+ 3 Days)
+$150Frequently asked questions
About Faisal
Finance Automation & AI Engineer | Python - LLMs - Odoo - Power BI
Sharjah, United Arab Emirates - 1:54 am local time
Here's what makes me different: most finance freelancers know accounting OR automation — rarely both. I've run finance for a multi-entity MNC (5 legal entities across the GCC, Big-4 audits, ICoFR) for 22+ years, AND I build the automation in Python myself. So I don't just script a task — I understand the controls, the reporting, and the audit trail behind it.
And I don't just consult — I ship. Two of my own products are live right here on Upwork: a local-first AI invoice/document extractor, and a receivables cockpit (DSO, bad-debt, collections). Real, working systems — not slideware.
WHAT I DO
🔧 Reconciliation & close automation — Python pipelines that match, flag exceptions, and produce a clean, auditable report. Turn 2-day tasks into minutes.
🏗️ ERP setup & automation (Odoo / Infor SUN) — chart of accounts, automated workflows (invoice → journal), report generation, user training. I project-managed a full SunSystems → Odoo migration.
📊 Financial reporting & dashboards — Power BI / DAX or Python / Streamlit, consolidating multi-entity data into the views leadership actually uses.
📑 Excel → Python — migrate fragile, multi-tab workbooks into fast, error-resistant scripts.
🤖 AI agents & LLMs for finance — Claude, OpenAI (GPT), and Gemini to extract invoice/document data into structured form or straight into your ERP, automate reporting, and wire LLMs into finance workflows — with validation and controls, never black-box output.
⚖️ Credit risk & scoring — design and automate customer credit-scoring / risk-grading models (multi-factor → A–D grade), fed live from your ERP.
🧭 Automation audit — I review your finance ops and tell you exactly what to automate, in what order, for the biggest ROI.
CLIENTS COME TO ME WHEN THEY NEED TO
– Automate bank/account reconciliation and kill the manual matching
– Set up or clean up Odoo / Infor SUN — chart of accounts, workflows, reports
– Replace fragile Excel models with reliable Python automation
– Build multi-entity financial dashboards (Power BI) for real-time visibility
– Extract data from invoices / POs / statements automatically with AI
– Design or automate a customer credit-scoring / risk-grading model
– Get a clear roadmap for what in their finance ops can (and should) be automated
WHAT I'VE ACTUALLY BUILT (real systems, not claims)
Odoo-integrated A/R ageing, A/P and bank-payment automation with a drill-down P&L reporter; an Infor SunSystems–fed credit-scoring engine grading thousands of customers A–D on five risk factors; Power BI dashboards for working capital, DSO/NWC and AR/AP; bank-statement → expense automation; and a local-first AI document-extraction tool. (Portfolio shows sanitized versions.)
BACKGROUND
Finance & Accounting Manager, global MNC — 22+ years across the GCC. MBA (Finance). Google-certified in Python & Data Science; Microsoft-certified in AI concepts and generative AI / agents. Owned multi-entity close, Big-4 audits (PwC / Deloitte / EY / KPMG), ICoFR, and ERP implementations; designed and automated a regional credit policy + scoring model.
If your finance team is drowning in manual reconciliation, spreadsheet reporting, or a half-configured ERP, I build the automation that gives you the time back — with the controls and audit trail intact.
Let's talk about your workflow.
Steps for completing your project
After purchasing the project, send requirements so Faisal can start the project.
Delivery time starts when Faisal receives requirements from you.
Faisal works on your project following the steps below.
Revisions may occur after the delivery date.
Review samples & confirm scope
I review your sample documents, required fields, and chart of accounts, then confirm the extraction schema, AI engine, and output format with you before building.
Configure & code
I set up the extractor for your document layout and fields, connect your chosen AI engine/key (or offline mode), and map supplier-to-account coding from your chart of accounts.