Featured Projects
Real systems built to solve operational bottlenecks and scale execution.
AA Properties
A property management admin system — properties, tenants, leases, and invoices, with authenticated admin dashboards for each.
Accounting Automation
A Google Sheets add-on for bookkeeping — a custom menu drives setup, data refresh, and a dedicated dashboard, all running on Apps Script directly inside the spreadsheet.
AI Agency
AI-powered SaaS / business automation focus.
Google Sheets Automations
Inventory and order-tracking automation built on Google Apps Script — syncing item masters, vendor records, and on-hand stock directly inside a spreadsheet.
Masha
A native Android app (Kotlin) built around AI-assisted voice calling — the app requests call and microphone permissions and runs a foreground service to handle calls in the background.
Rentify
A stateless, full-rebuild accounting system for rental properties, built as a Google Sheets extension — every sync reconciles transactions and tenant data, then regenerates a month-by-month ledger from scratch.
Global Marketplace Scalability
The existing fulfillment setup was optimized for a single-country model (U.S.). As international orders grew, the system began to break: - Inventory was not region-aware, causing frequent misrouting - Cross-border delays increased due to poor coordination - Operations relied heavily on manual decision-making - No centralized visibility across regions This resulted in slower delivery times, higher error rates, and operational inefficiency.
Communication SLA Systems
A digital agency operating with a fully remote, multilingual support team was struggling to maintain consistent communication quality and response times. Customer interactions were fragmented across channels, response delays were frequent, and repetitive tasks consumed a significant portion of team capacity.
Logistics Network Efficiency
A food delivery network in Bangladesh was facing high rider turnover, leading to missed SLAs, delayed deliveries, and constant operational instability. Riders frequently dropped out due to long travel distances, inconsistent earnings, and inefficient allocation — creating a cycle of churn and poor service quality.
