Engineering at AI speed.

Scale further.

Lead Frontend Engineer.

The operations team had no centralized way to monitor vehicles in real time. Dispatch ran on phone calls and spreadsheets, route deviations went unnoticed, and incidents were reconstructed after the fact instead of caught live.

Architected an Angular dashboard backed by Firebase Realtime Database, integrated Google Maps with custom layers for live tracking and heatmaps, and built a rules engine for proactive alerts. Designed an event-driven scheduling module with optimistic updates so dispatchers stay in flow even on flaky networks.

• Live visibility across 15+ vehicles with sub-second telemetry updates
• Heatmaps surfacing route hotspots and dwell-time anomalies
• Alert pipeline cut incident response time dramatically
• Scheduling system replaced manual spreadsheets for daily dispatch

The client's research, policy, and program documents had grown into a large, unstructured corpus. Stakeholders were spending hours hunting through PDFs and pages for specific clauses, rebates, and program details. Keyword search wasn't enough — the same concept gets phrased a dozen different ways across documents and revisions.

Built the search engine end-to-end behind their existing product UI: document ingestion and chunking, vector embeddings, a semantically indexed retrieval layer, and a clean retrieval API that returned ranked passages with grounded citations to the client app. Tuned chunking and ranking for the specific shape of policy and incentive content so answers stay precise instead of vaguely on-topic.

• Hours of manual document hunting compressed into seconds of semantic search
• Citation-backed answers — every result links straight to its source passage
• Indexing pipeline ingests a continually growing corpus without manual curation
• Drop-in API integrated cleanly with the client's existing product surface

The business depended on 15+ Looker Studio reports that were slow to load, expensive to license, and impossible to extend. Stakeholders needed deep customization, embeddable views, and tighter integration with internal data — none of which the legacy tooling supported.

Designed a modular charting layer wrapping Chart.js and Apache ECharts behind a unified Angular API, with lazy-loaded report modules, virtualized lists for large datasets, and OnPush + Signals to keep change detection cheap. Reused configuration primitives to drop new chart types in days instead of weeks.

• 60+ charts across 15+ reports migrated with feature parity
• Significant load-time and interactivity improvements over the legacy stack
• Eliminated recurring Looker Studio licensing dependency
• Unified chart API let new report types ship in days, not weeks

Trillo's customers were context-switching between editors, runtime logs, AI prompt tools, and admin consoles. The product needed a unified workspace that felt as responsive as a desktop IDE — without ballooning bundle size or fighting Angular change detection at scale.

Architected the workbench around lazy-loaded feature modules, Signals + OnPush for surgical re-renders, and a virtualized log/console layer that holds tens of thousands of entries without dropping frames. Reusable layout primitives let new editor surfaces ship in days. The same architecture was extended into the Trillo File Manager product with minimal duplication.

• IDE-style UX — split panes, live logs, AI tooling — without lag at scale
• New feature surfaces shipped in days, not weeks
• Core product surface for Trillo's developer customers
• Architecture reused end-to-end for the Trillo File Manager spin-off

Teams running multi-layered programs were juggling spreadsheets and flat task lists that hid critical relationships. They needed to see how parent goals decomposed into child workstreams — and back — without losing context across hundreds of nodes.

Built end-to-end with Claude Code as the pair-programming engine: a Next.js + TypeScript app with a virtualized hierarchy renderer, drag-and-drop reorganization, role-based permissions, and real-time collaboration. Architecture was human-driven; AI handled scaffolding, refactors, and accelerated iteration cycles.

• Production launch in a fraction of the typical timeline
• Hundreds of hierarchical nodes rendered smoothly via virtualization
• Drag-and-drop reorg with optimistic updates and conflict resolution
• Replaced spreadsheet-driven workflows with a single source of truth

A traditional concierge operation was being run on calls, messaging apps, and manual coordination. They needed a unified product that could onboard providers, route client requests, handle scheduling, and capture payments — without years of build time.

Designed and shipped with a Claude Code + Gemini workflow: role-based dashboards for clients and concierges, a request lifecycle engine, real-time chat, calendar-aware scheduling, and integrated payments. AI accelerated build-out; architecture decisions stayed with the engineer.

• End-to-end production launch on a compressed timeline
• Unified client + provider experience replaced fragmented tooling
• Real-time messaging and scheduling baked in from day one
• Payments and request lifecycle wired in cleanly for scale