Seven services, each built around an expensive problem — AI product delivery, frontend development and performance, Web3 products, browser extensions, integrations, and fractional Staff-level ownership. Every engagement starts small and expands only when it earns it.
For teams whose AI feature is stuck between demo and production. I build the workflow layer — grounding, permissions, fallbacks, human approval — that makes AI reliable enough to ship to real customers.
■An AI feature that ships — with defined behavior for the unhappy paths, not just the demo path
■A workflow your enterprise customers’ security teams can approve
■An architecture your own engineers can extend after I leave
For teams whose React/TypeScript platform has become slow, fragile, or expensive to change. Profiling-driven diagnosis and incremental fixes — measured, and without stopping feature delivery.
■A measured, prioritized picture of where performance actually goes
■Critical flows made demonstrably faster and more reliable
■A modernization path your team executes in normal sprints — no big-bang rewrite
For teams building or scaling a React/TypeScript product. Hands-on feature delivery plus the architecture underneath — state design, typed boundaries, module structure — so shipping stays fast as the codebase grows.
■Product features shipped while the architecture improves underneath them
■A structure where the next feature is cheaper than the last, not more expensive
■Typed contracts that turn integration bugs into compile errors
For teams building wallets, DEXs, NFT products, or dApps. Transaction UX designed as explicit state machines, extension-grade security boundaries, and on-chain data through the right layers — shipped across CTRL, Unizen, OneArt, and HookRank.
■Transaction flows where users always know what happened to their money
■Wallet and extension surfaces built around the trust boundary, not around convenience
■An on-chain data layer your UI can rely on without lying to users
For products that need to live in the browser or inside other platforms. MV3 service-worker architecture, secure auth in hostile sandboxes, and release processes that survive marketplace review — from enterprise (Writer) to creative tools (LottieFiles) to wallets (CTRL, OneArt).
■An extension architecture that treats host constraints as design inputs, not surprises
■Auth and storage a security review can approve
■Releases that stop being hostage to the review queue
For SaaS teams whose product has to connect to everything else. OAuth connectors, enterprise identity (SSO/SCIM/IdP), webhooks, and third-party API reliability — built the way enterprise security reviews expect, from daily work at Writer.
■Connectors that survive token expiry, revocation, and the security questionnaire
■Identity flows that unblock enterprise deals instead of stalling them
■Integrations that degrade gracefully when the other side misbehaves
For teams that need Staff-level ownership of a stalled or high-risk initiative without a full-time hire. Clear direction, stakeholder alignment, and hands-on delivery of the most critical parts.
■A stalled initiative moving again, with a plan people actually believe
■Decisions documented and owned, not accumulated by accident
■A stronger team when the engagement ends — the opposite of vendor lock-in
A specialist capability that cuts across every service: I’ve shipped production plugins and extensions across Chrome, Figma, Adobe, Canva, VS Code, WordPress, and ChatGPT ecosystems, plus OAuth-based integrations with platforms like Slack, Jira, and GitHub. If your product has to live inside someone else’s platform — with their sandbox rules, their review process, and their breaking changes — I’ve probably fought that fight before.
■Browser extensions (Chrome/MV3) for product and enterprise workflows
■Design-tool plugins: Figma, Adobe After Effects and Animate, Canva
A fixed-scope performance audit for SaaS products and e-commerce stores. I find what actually slows your site down for real users — then hand you code-level fixes ranked by impact, not a generic checklist.
A perfect Lighthouse score does not sell products — pages that load fast and respond instantly for real shoppers do. I audit your store the way Google measures it: real-user Core Web Vitals, on the pages where buying actually happens.
Some bugs eat weeks: they vanish under a debugger, appear only in production, or live across three systems at once. Send me the bug — I investigate it with a fixed scope, and you get the root cause, a fix, and a regression test. Not a shrug.
The architecture that got you to product–market fit is rarely the one that scales past it. This audit maps where your frontend actually stands — what is solid, what is fragile, what breaks next — and gives your team a prioritized plan instead of a rewrite pitch.