OpsLedger
In DevelopmentAn operational invoice ledger for small businesses, designed around dependable payment tracking and secure workspace access.
I'm Abdul Rehman, an aspiring software developer working with React, Supabase, PostgreSQL and AI-assisted workflows. I turn messy processes into focused, dependable products.
Workspace overview · Real project evidenceAn operational invoice ledger for small businesses, designed around dependable payment tracking and secure workspace access.
Selected system · Real project evidence
Four builds across operational software, practical AI, education and workflow automation.
An operational invoice ledger for small businesses, designed around dependable payment tracking and secure workspace access.
An AI-assisted marketplace concept for identifying, valuing and reselling leftover construction materials.
An AI-assisted educational platform with quiz generation, teacher and student workspaces, and progress tracking.
A tested n8n workflow that researches approved leads, identifies personalization signals, drafts controlled outreach and records the result.
I'm an aspiring software developer based in the UAE with an interest in application security, practical AI and product development.
I enjoy turning unclear real-world workflows into focused software—and documenting the decisions behind what I build.
Start with the workflow and the person experiencing it.
Make identity, authorization and data boundaries explicit.
Good decisions become repeatable when their context survives.
Technologies used across working projects, tested prototypes and current development.
Select a project to inspect its connected disciplines, verified stack and implementation evidence.
An operational invoice ledger built around dependable payment workflows and secure workspace access.
A React and Vite client backed by Supabase and PostgreSQL, with database-enforced authorization, membership integrity and automated tests.
Product planning, frontend development, database design, testing and application-security decisions.
Each project adds a different kind of evidence: client delivery, product thinking, collaboration and deeper engineering.
Learning by turning ideas into interfaces and small working systems.
Exploring how image analysis could support a circular marketplace for construction materials.
Working with a team on more engaging quiz and learning experiences.
Connecting lead research, AI personalization, controlled sending and auditable status logging in one tested workflow.
Moving deeper into testing, database integrity, authorization and secure workspace design.
I'm interested in thoughtful conversations about software, security, practical AI and useful products.