This internal tool helps finance teams manage tables and high-volume transaction data while automating reconciliation between bank transactions and internal records.
🔧 What it includes:
• Complex transaction tables with filtering, inline editing, and collapsible rows
• Transaction analytics dashboards with charts and real-time insights
• Automated reconciliation engine written in JavaScript & Python
• Query optimization and server-side pagination for large datasets
• Scheduled workflows in Retool for daily reconciliation jobs
📊 Impact:
✔ Automated ~90% of transaction reconciliation
✔ Enabled teams to reconcile large datasets in minutes instead of hours
LumaClean was losing hours to manual quoting, scheduling, confirmations, rescheduling, and follow-up. LumaFlow turns that entire process into one automated booking workflow.
I built LumaFlow for a fictional Chicago cleaning business, LumaClean.
The problem was simple: too much back-and-forth just to turn a customer inquiry into a confirmed booking.
I built Apex Connect—an autonomous AI operations hub for a busy solo roofing contractor in New York.Â
As a solopreneur, the owner is constantly on-site climbing ladders. This operational bottleneck causes him to miss inbound customer leads, wrestle with text-back-and-forth calendar scheduling, and face a high client no-show rate for property quotes.Â
This app fixes his business in two massive ways:Â
Fixes the Front Door: A Customer Portal that automatically triages roof damage. If a user selects "Emergency Storm Damage," the app intelligently unlocks priority, same-day booking slots automatically.
Fixes the Follow-Through: An Owner Dashboard featuring an automated "Follow-Through Queue." It runs background SMS No-Show Guards, tracks quote email follow-ups, and manages a clean lead pipeline completely hands-free.
The application successfully saved the hypothetical small business client 11.4 manual administrative hours in its first week alone.:
Amazing idea Maha! Love how you solved the solo contractor problem. Super clean UI! Best of luck with the challenge 🚀 - from a fellow builder (BizTool Finder)
ESG reporting is a workflow problem as much as a data problem: teams need applicability rules, evidence, consolidation, review, and approvals before a report is ready.
For OriginSustain, I built NestJS/TypeScript backend services, PostgreSQL and Redis/BullMQ processing, and AWS/Docker delivery with CI/CD. OpenAI API and RAG support part of the reporting flow. The screens here are from the product’s illustrative command center; the numbers are demo values, not client outcomes.