ALEXANDER RUSSELL

Designed and built, end to end, a secure portal for a community education organisation, unifying three separate systems (a learning-management platform, Google Classroom, and internal records) into one role-based experience. Built on Next.js, TypeScript, Firebase Cloud Functions, and Vertex AI.

Led security hardening on a production AI platform: row-level security, hardened authentication, and multi-tenant data isolation, with a privacy-by-design approach aligned to the NZ Privacy Act 2020.

Designed and built, end to end, a schema-isolated multi-tenant Supabase backend powering three production applications, with row-level security and strict per-app data isolation.

Co-built a multimodal pipeline that transcribes raw audio and uses the transcript to generate tailored, high-fidelity image assets, running on the secure backend above.

Built independently a Model Context Protocol server that exposes a payroll system's operations to AI agents, with server-side redaction of sensitive pay, bank, and IRD fields.

Delivered major frontend and backend work on a culturally sensitive knowledge-preservation platform, with a focus on data sovereignty and secure authentication.

Two months embedded on a national retail group's operations platform: 29 merged pull requests spanning Dynamics 365 Business Central integration, a cloud-print workflow state machine, and a worksheet QA rules engine.

Majority developer (62% of the codebase) of an adviser referral network and consumer money-wellness platform: server-enforced MFA and encrypted adviser-to-consumer messaging.