Benchmark Capital System built for a national marketplace: high‑concurrency geospatial engine, hybrid semantic + SQL search, and internal ops tooling. Result: ~80% reduction in map API requests and latency while supporting thousands of concurrent map views for vendors and buyers.
This is the same stack and systems mindset used in current Capital Systems Pilot engagements.
Over the past decade, I’ve architected systems across fintech, e‑commerce, and heavy operations, from data layer to UI.
Before focusing on Capital Systems, I spent 10 years shipping end‑to‑end web applications. That engineering background keeps these systems robust, secure, and usable.
View Project ArchiveCommon patterns I deploy for B2B SaaS teams. Pick the one that feels closest to your mess.
Replaced manual spreadsheet triage with a retrieval and routing system that surfaces the right account context in seconds. Deployed as a Capital System: a retrieval layer over tickets and accounts plus an automation loop that tags and routes work without human “glue.”
Killed 40 hours/week of copy‑paste between CRM and accounting. Auto-generated invoices, tracked payments through Stripe, and synced data via a custom automation loop.
Replaced manual doc search. An AI Agent ingests knowledge base and support tickets to draft answers instantly. Removed 3–5 minute per ticket search time for support reps.
Eliminated manual data entry from field teams. A vision-enabled ingestion pipeline extracts structured data from WhatsApp photos/invoices and pushes it directly to the CRM.
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