Taha MahmoodI am an AI Automation Engineer and operator who builds workflow systems for operations-heavy businesses.
I started in business development and operations, then taught myself to build the systems I kept specifying for other engineers to build.
Today I design and ship AI-powered products end-to-end: FastAPI backends, React/Next.js frontends, Claude evaluation pipelines, Make.com automation layers, and Supabase schemas. I authored BRDs and PRDs for AI calling bot deployments, led full UAT cycles from defect triage to production release, and owned post-launch bot governance with structured failure logs and SLA compliance tracking.
Quantified outcomes: DSO cut 81 to 22 days, missed service events reduced 97%, EMR rollout scaled across 33 clinic sites across Greater Toronto Area, Time-to-Live for new employees reduced from 35 days to 5 days. Every system I build has a cost, a constraint, and a measurable outcome.
Used in FastAPI services, AI evaluation pipelines, OCR workflows, data ingestion, and automation backends.
Used in Next.js, Remix, Shopify app development, dashboards, and internal tools.
Used in Supabase, Neon, multi-tenant app storage, reporting, and workflow state machines.
Used to connect CRMs, build data sync pipelines, and orchestrate automated follow-up workflows.
Used to build high-performance dashboards, Shopify Apps, and internal workflow interfaces.
Used for structured data extraction, CV evaluation pipelines, and building conversational state machines.