I build AI systems that replace manual work and scale operations.

Manual reconciliation was time-consuming, repetitive, and difficult to scale across a growing volume of transactions.

Built an automated reconciliation workflow using APIs, Redis queues, and database-backed processing to sync and verify billing data in real-time.

Processed 40,000+ transactions per month. Reduced manual work, improved accuracy, and created clearer operational visibility across the business.

Operations needed to manually calculate and upload transaction fees — a slow, error-prone process that couldn't scale.

Created an automated workflow that calculates fees, processes records in queues, and uploads updates through API integrations without manual intervention.

Reduced manual computation, improved consistency, and allowed the process to run reliably in the background — freeing the team from repetitive data work.

Manual report creation took too much time and was difficult to scale across multiple clients and data sources.

Built an AI-powered workflow that processes structured input and generates professional reports automatically on a scheduled basis.

Reduced report creation time significantly. Content generation became consistent, repeatable, and scalable without adding manual effort.

Marketing team producing content manually — each article taking 4+ hours from brief to publishable draft, bottlenecking output.

n8n orchestrates the full pipeline: brief intake form → GPT-4 drafts structure → Claude refines tone and clarity → Notion page created → reviewer notified via Slack.

Content production time cut from 4 hours to 25 minutes per piece. Output capacity tripled without adding headcount.