Software engineer.
Applied researcher.
System thinker.

Six years of full-stack product work across nine services and applications, from donor-facing campaign and checkout flows to backend services, operations tooling, integrations, and AI-assisted workflows.

• Built and evolved a component-driven fundraising platform across Nuxt generations and a skin-based Vue 3 checkout with reusable multi-step flows, attribution, localization, and build-time gateway composition.
• Integrated and hardened Stripe wallets and 3DS, PayPal, PayArc, Cardknox card and ACH, raffle preauthorization, and configurable international tax-compliance and receipt workflows.
• Delivered campaign, team, and donation operations with contact management, secure analytics, custom reports, streaming exports, and queued campaign-total aggregation.
• Built email and SMS outreach with reusable audiences, templates, drafts, asynchronous delivery, provider callbacks, audience safeguards, and operational health diagnostics.
• Implemented peer matching, team nominations, auctions, raffle registration, prize wheels, projector and live-feed experiences, with server-side eligibility and inventory protections.
• Designed OAuth-protected AI and MCP integrations plus HubSpot CRM automation with typed tools, approval-gated actions, setup reconciliation, entity linking, and guarded bulk operations.

Backend, frontend, and developer-platform work for realtime voice interviewing, durable background processing, speech-to-text, production operations, and reusable AI engineering workflows.

• Designed an owner-scoped background-job platform with durable state and event delivery, registry-based dispatch, frontend integration, admission control, and cross-user authorization safeguards.
• Built configurable realtime and batch speech-to-text pipelines and improved voice interviews with echo suppression, resilient WebSocket reconnects, and buffered-audio recovery.
• Refactored realtime interview and voice-test sessions onto shared event, action, runtime-state, and ordered-shutdown primitives to reduce coupling across workflows.
• Delivered full-stack automated interview testing with generated speech, PCM injection, lifecycle controls, local and cloud recording storage, and diagnostic exports.
• Modernized the Python platform around uv, Ruff, basedpyright, Alembic, and honest CI gates; added structured crash visibility and hardened authorization and validation boundaries.
• Created a reusable AI-engineering toolkit with orchestration and review workflows, automated installation, typed Python APIs, and Claude Code and Codex plugin packaging.

Cross-stack engineering for survey research, mental-health scoring, multi-tenant reporting, machine-to-machine exports, guided workforce journeys, and AWS delivery infrastructure.

• Re-architected a Python reporting application into a typed uv monorepo with a separated API, generated client, modern React frontend, migration-managed PostgreSQL and RBAC, and containerized delivery.
• Designed and hardened AWS CDK infrastructure using managed containers and PostgreSQL, HTTPS edge delivery, keyless CI authentication, conditional rollouts, and workload-aware cost controls.
• Built secure multi-tenant identity and administration spanning sessions, password recovery, organizations, teams, invitations, self-service workspace creation, and revision-level authorization.
• Implemented role-scoped reporting and external survey synchronization with encrypted organization credentials, operational sync monitoring, curated trends, and live TeamQ and OrgQ journeys.
• Expanded the MHQ survey and research platform with lifecycle controls, accurate drop-off analytics, mobile interaction safeguards, an embeddable Web Component, and an invite-only CSV Research Calculator.
• Delivered machine-to-machine survey exports and a service-account console with scoped access, one-time credentials, token rotation, stable historical revision identity, deterministic CSV contracts, and pagination.