Senior Technology
& AI Manager

Context: The main revenue funnel had checkout friction, inconsistent invoicing, and fragmented automations across tools.

Role: Lead for marketing and finance automation, owning architecture and implementation.

Stack: WooCommerce, WordPress, ClickFunnels, HubSpot, ActiveCampaign, Instantly.ai, Zapier, Google Sheets, Google and Meta Ads.

What I did: Rebuilt the funnel to match real buying behavior, consolidated automations, created revenue-tied campaign reporting, and improved invoice flows end-to-end.

Impact: $51,568 in a single day, 30% operational cost reduction, multiple $7,500+ high-ticket deals closed.

Context: Two key clients were bottom of the revenue ranking with fragmented processes and unclear risk settings.

Role: Technical Account Manager with executive decision authority on process, tooling, and product usage.

Stack: ACI PAY.ON, custom API tooling, ERP, risk engines, Google Pay, Apple Pay.

What I did: Mapped payment flows and risk logic end-to-end, unified support with Zendesk and Clockify, built an in-house payment API tester, and deployed Google Pay and Apple Pay integrations for the full client base.

Impact: Both clients became top 2 and 3 grossing accounts, adding 800k+ EUR in monthly revenue.

Context: APAC operations teams worked across fragmented tools and knowledge sources, slowing resolution times and making it hard to surface the right playbook quickly.

Role: Senior Technology & AI Manager responsible for automation, internal tools, and applied AI for classified transaction operations.

Stack: Internal CRM APIs, JPMorgan proprietary LLMs, custom RAG chunking, HTML/CSS/JS portals, secure prompt engineering frameworks.

What I did: Led "Project Ultron," an AI-assisted productivity suite for triage and knowledge surfacing. Designed a unified technologies portal front-ending multiple internal APIs and LLMs. Built a subpoena case management platform. Engineered RAG chunking strategies for JPMorgan's constrained-context model.

Impact: 80% productivity gains, 62% faster tool and knowledge access, 50% reduction in subpoena prep time, 30–40% faster incident resolution.

Context: Multiple teams used different tools, making it impossible to measure workload, SLAs, and cost-to-serve across the organization.

Role: Technical Account Manager influencing cross-department processes and tooling from the ground up.

Stack: Zendesk, Clockify, ACI PAY.ON, Vue.js, PHP, Firebase, custom REST API tooling.

What I did: Consolidated ticketing in Zendesk, rolled out Clockify for time tracking, designed routing rules and forms, and built a white-label API sender and tester for ACI PAY.ON that ACI later used as the basis for their own official knowledge base publication.

Impact: Single source of truth for all operational tickets, accurate time and cost measurement, reduced time-to-go-live for new merchants and payment methods.

Context: Needed a scalable content and monetization operation that could run autonomously without manual bottlenecks at every step.

Role: Sole architect and developer.

Stack: Claude (Anthropic), Gemini, Docker, PostgreSQL, Redis, custom agent orchestration layer.

What I did: Designed four specialized agents: Blog Agent (content generation and SEO), Social Media Agent (platform distribution), Ads Agent (monetization optimization), and Concierge Agent (routing and orchestration). Built inter-agent communication, persistent memory, and the full content pipeline from topic discovery to publication.

Impact: Fully autonomous content operation. Demonstrates applied multi-agent architecture, production prompt engineering, and real-world AI system design at the infrastructure level.