What I shipped this year.

Q2

Excellence in Engineering, named at the company all-hands

Recognized by the VP of Engineering for going above and beyond: pushing what AI tools can do, and staying with hard problems until they were fixed.

Ongoing

Led the React 19 dashboard replacing the legacy Ext JS frontend

Defined the widget-based architecture and drove it from empty repository to a product real users log into, on React 19, TypeScript and Vite.

Q1-Q2

Delivered the core widget catalog

KPI Comparison, Product Penetration, Year over Year Trend and Dealer Rankings, built on a shared widget contract so later widgets cost a fraction of the first.

Q2

Rolled out behind an internal pilot gate

Shipped to internal users first behind a feature gate, which let us find the reliability problems below before any external customer saw them.

Q2

Dashboard persistence and sharing

Designed end-to-end persistence on a per-user settings API with hash-encoded shareable URLs and an "apply shared view" banner. Migrated users off ad hoc localStorage state with no data loss.

Q2-Q3

Brought the React report viewer to parity with the legacy platform

Report options, drilldowns, charts, summaries and scheduling, working consistently across both the cloud and legacy data backends rather than only the easy one.

Q3

Ported the admin toolset to React

Deal-detail editing, schedule management and data-quality workflows, closing the last major reasons an admin had to fall back to the old UI.

Q2

Eliminated a UI freeze on the largest accounts

Traced the freeze to how the largest scopes rendered, and fixed the cause rather than the symptom, which unblocked the customers who stress the product hardest.

Q2

Cut heavy report-grid DOM size by roughly 20x

Restored grid virtualization that had been disabled for every summary grid, taking a page from about 2,000 rendered nodes to under 100.

Q3

Removed mid-session refetch storms

Narrowed RTK Query cache invalidation so ordinary interactions stopped triggering waves of redundant requests against the API.

Q3

Closed a hydration race that overwrote saved filters

Users were silently losing their own saved selections. Fixed the ordering so restored state wins over defaults.

Q3

Took the unmapped products feature from scaffolding to live data

Products arriving on the dealer feed without a mapping have their revenue go uncounted. The feature now groups them from the live warehouse, shows each dealer the dollars they are not accounting for, and lets them map a group to one of their own products or ask for a new one.

Q3

Isolated an upstream contract that was still moving

The data team was still settling the wire shape while I was building against it. A translation layer maps their payload into a stable internal type, so field-name churn upstream lands in one file instead of rippling through the interface. They kept iterating and the UI never broke.

Q3

Fixed the tenancy bug that made whole-client views come back empty

A client-level or group-level selection was sending a rollup identifier that is not a real dealer, so nothing matched. Scoping now resolves by client at the client level and by dealer for a single dealer, and each row shows which dealer it belongs to with that dealer's products only.

Q3

Owned the notification path instead of blocking on it

The upstream API deliberately does not send the support notification. Rather than wait for it, the app builds and sends the message itself, behind a recipient override so lower environments can never email real support. Only confirmed rows send; ignored ones stay open.

Q3

Ran it as a joint effort with the data team

Reconciled the API contract together and wrote it down in a shared document, probing the live service to confirm what actually existed. Got the write-path semantics and their filter caveats first hand, and had test data seeded for a QA dealer so the feature could be verified against real data end to end.

Q3

Shipped it verified rather than assumed

Checked end to end against the live lower environment, including the email suppression gate. Full frontend suite of 1,120 tests and the backend unit suites green, static analysis clean against baseline, and three unshipped card features plus their dead endpoints removed rather than left dangling.

Q3

Built the React regression suite

A Playwright suite that reads the live report catalog and generates one run per report across both the cloud and legacy backends, split into API sweep, parameter validation, download and UI smoke projects.

Q3

Made the suite tell the truth about what it found

Separated genuine failures from empty results and known-complex reports, so a gap in test data stops reading as a regression. Running reports with their real default layout ended 12 false passes.

Q3

Published a scoreboard that is diffed run to run

Every run writes a per-report board with status, duration and dataset counts, then compares against the previous board to surface coverage gains and duration drift instead of a wall of green checks.

Q4

Built the k6 load harness for the dashboard and report APIs

Five scenarios from smoke through mixed traffic, parameterized from real tenant data so a load run looks like real multi-tenant usage rather than one account hit repeatedly.

Q4

Shipped a results dashboard so a load run is readable by the team

Load metrics export over OTLP into Grafana against a prebuilt dashboard: five headline tiles, p95 latency by endpoint as both a timeseries and a ranked bar gauge, request rate by endpoint, and the virtual-user ramp. The endpoint tag is the dimension, so a run answers which call is slow rather than only whether it passed.

Q4

Closed a metrics cardinality and token-leak hazard by design

The load tool tags every request with its full URL by default, which overflowed the metrics export and carried an auth token into metric labels. A shared options builder now rejects those tags at load time, so no future scenario can reintroduce it.

Q3

Hardened a partner analytics integration

Added retry middleware to the analytics proxy, fixing intermittently blank filter lists caused by transient upstream failures.

Q3

Contributed the fix that unblocked a stalled production release

A deployment stack update was failing because the platform allows only one version lifecycle rule enabled at a time, and omitting the outgoing rule does not disable it. Declaring it disabled explicitly let the release through.