Every project here runs in production. Full-stack dashboards, Python pipelines, Chrome extension suites, AI-powered apps — built solo to solve real e-commerce problems, with the metrics to prove they worked.
Flagship full-stack SaaS I designed, built, and shipped solo. Replaces a 4-hour weekly PPC audit with a 90-second upload-to-insight loop — 7 analysis modules (including a Custom Analysis Studio and Compare Periods), an in-browser DuckDB-WASM engine that handles 149K+ rows in seconds, and a downloadable rule-based optimization engine. Live at amazon-ads-audit-analytics.pages.dev.
A live Python + Streamlit app that turns hundreds of raw customer reviews into instant sentiment dashboards, trend extraction, and AI-generated product reports — with a Q&A assistant that answers follow-up questions. 100% review coverage in under a minute.
A Python pipeline that replaced a 16-hour bi-weekly ordeal with an under-5-minute automated run — thousands of SKUs validated across 12 countries, zero human error, on-demand cadence.
One toolkit covering the whole catalog workflow: a multi-marketplace opener & scraper (14 Amazon regions + Flipkart, Noon, Walmart, Target, Home Depot, exporting to Excel), a catalog-aware group opener (126 named product groups), Shopify full-store scraping, and 91mobiles spec extraction — adopted team-wide on day one. Live demos inside.
End-to-end brand launch from concept to live — China sourcing, BIS/ESMA compliance, SEO-optimized listings across Amazon/Flipkart/Noon, full FBA setup, and day-one ad campaigns across India, UAE, and USA.
A set of Python tools for the most repetitive bulk e-commerce tasks — bulk invoice generation, data-export reformatting, multi-platform upload prep, and batch image processing. Built once, used thousands of times.