Case Studies

Clutch-verified work

Three engagements across e-commerce, fintech, and AI platforms. Each detail page separates the issue, action, artifact, outcome, and claim boundary so the proof is inspectable instead of just quoted.

Proof standard

Every public claim is tied to a review, artifact, outcome, and boundary.

No private traffic, revenue, or ranking data is invented for the page.

Proof map

Case	Outcome	Artifact shown	Claim boundary
Dulles Glass	Rankings recovered within 2 to 3 months of restructuring	Catalog route rules, schema parity checklist, internal-link map, and sprint QA notes.	Public claims are limited to the verified review, two-year engagement context, SEO-aware Next.js catalog work, and documented ranking recovery window.
Geidea	Faster than international competitors, increase in inbound leads	Hreflang route matrix, template inventory, structured-data QA, and mobile performance notes.	Public claims are limited to the verified review, 100+ page multilingual rebuild context, speed comparison language, and client-reported lead lift.
Atenai	Strong project management and ownership across sprints	Sprint tickets, demo-ready UI work, async updates, and delivery notes.	This is frontend engineering proof. No ranking, traffic, or revenue claim is made for Atenai.

E-commerceAli Rezaiyan, Product Manager

Dulles Glass

Two-year engagement building SEO-aware e-commerce architecture on Next.js. Technical skills combined with SEO awareness kept the search impact visible at every step.

Outcome: Rankings recovered within 2 to 3 months of restructuring

Artifact: Catalog route rules, schema parity checklist, internal-link map, and sprint QA notes.

Claim boundary: Public claims are limited to the verified review, two-year engagement context, SEO-aware Next.js catalog work, and documented ranking recovery window.

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Fintech, MENA regionSasha Dyachenko, Project Manager

Geidea

Next.js rebuild with multilingual setup, schema, and performance work for a 100+ page corporate site. Launched on schedule and outperformed competitors on speed.

Outcome: Faster than international competitors, increase in inbound leads

Artifact: Hreflang route matrix, template inventory, structured-data QA, and mobile performance notes.

Claim boundary: Public claims are limited to the verified review, 100+ page multilingual rebuild context, speed comparison language, and client-reported lead lift.

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AI and enterpriseKieran Garvey, Founder

Atenai

Sprint-based frontend engineering for an AI platform. Initiative-driven delivery, fantastic project management, reliable across the full engagement.

Outcome: Strong project management and ownership across sprints

Artifact: Sprint tickets, demo-ready UI work, async updates, and delivery notes.

Claim boundary: This is frontend engineering proof. No ranking, traffic, or revenue claim is made for Atenai.

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