Case Studies

Real results from real engagements. See how we have helped companies solve complex engineering challenges.

Legacy Platform Migration to Next.js/TypeScript

Reduced build times from 45+ minutes to 75 seconds while completing a full migration from Python/Tornado/CoffeeScript to modern stack.

Problem

Legacy Python/Tornado/CoffeeScript platform with 45+ minute build times was blocking rapid iteration, making deployments risky, and limiting engineering velocity. Technical debt had accumulated over years, creating maintenance burden and slowing feature development.

Solution

Led complete migration to Next.js/TypeScript/SCSS stack. Incrementally decomposed monolithic services into microservices, established modern CI/CD pipelines, implemented comprehensive testing, and standardized development practices across teams.

Impact

  • Build times: 45+ min to 75 sec
  • Multiple daily deployments enabled
  • Reduced production incidents
  • Accelerated feature delivery

Tech Stack

Next.jsTypeScriptReactNode.jsAWSDockerCircleCI

Engagement

Technical leadership over 2+ years

Multi-Tenant White-Label Job Search Platform

Architected B2B SaaS platform enabling partners to launch branded job search sites, projecting $153K-$230K annual revenue per tenant.

Problem

Company wanted to expand revenue beyond consumer platform by enabling partners to leverage job search technology. Required building scalable multi-tenant architecture that could handle custom branding, domains, and configuration while maintaining single codebase.

Solution

Architected white-label platform with tenant isolation, dynamic configuration, custom domain mapping, and brand theming. Built admin tooling for tenant provisioning and management. Designed data isolation strategy ensuring security and performance across tenants.

Impact

  • $153K-$230K projected annual revenue per tenant
  • Partner launch time: months to days
  • Zero cross-tenant data incidents
  • Unlimited tenants with minimal overhead

Tech Stack

Next.jsTypeScriptReactNode.jsPostgreSQLAWSDocker

Engagement

Architecture and leadership engagement

SEO Architecture Overhaul - 10x Traffic Increase

Implemented JSON-LD structured data and replaced infinite scroll with pagination, driving 10x organic traffic growth and +74K monthly SEO visits.

Problem

Infinite scroll prevented Google from discovering and indexing deep job listings. Job listings and articles not appearing in Google rich results. Search engines struggled to understand content structure, limiting visibility in competitive market.

Solution

Implemented comprehensive JSON-LD structured data across all content types (JobPosting, Article, Organization). Redesigned search UX from infinite scroll to paginated results with proper SEO implementation (canonical URLs, rel=prev/next, XML sitemaps).

Impact

  • 10x increase in organic SEO traffic
  • +74K monthly SEO visits
  • Job listings in Google rich results
  • Reduced dependency on paid acquisition

Tech Stack

Next.jsJSON-LDSchema.orgServer-Side Rendering

Engagement

Fixed-scope SEO architecture engagement

Core Web Vitals & Performance Optimization

Achieved all-green Lighthouse scores (Performance 91, Accessibility 100, SEO 96) through comprehensive performance refactoring.

Problem

Core Web Vitals scores in red/orange range hurt SEO rankings and conversion rates. LCP, FID, and CLS metrics failed Google thresholds, directly impacting search visibility and user experience.

Solution

Implemented comprehensive Web Vitals optimization: image optimization with next/image, font loading optimization, code splitting, lazy loading, server-side rendering improvements, and third-party script optimization. Established monitoring and performance budgets.

Impact

  • Performance: 62 to 91 (+29)
  • Accessibility: 96 to 100
  • SEO: 89 to 96
  • 90%+ green Core Web Vitals sitewide

Tech Stack

Next.jsReactTypeScriptLighthouseWeb Vitals

Engagement

Performance optimization engagement

Global Ad Platform for 30+ Premium Publications

Increased ad viewability from 45% to 85% across Vogue, The New Yorker, Wired, GQ, and 25+ other brands serving 229M+ monthly users.

Problem

Legacy ad platform across premium publications had poor viewability (45%), slow render times, and inconsistent implementation. Every millisecond of latency impacted global revenue across 229M+ monthly users and 1B+ monthly video views.

Solution

Architected and implemented unified ad platform serving all brands. Removed jQuery dependencies, optimized bundle size, implemented lazy loading and viewability tracking. Created shared UI tooling and plugin architecture. Standardized testing achieving 80%+ coverage.

Impact

  • Ad viewability: 45% to 85%
  • 229M+ monthly users served
  • 1B+ monthly video views
  • 80%+ test coverage achieved

Tech Stack

JavaScriptReactNode.jsGoogle Ad ManagerPrebidAWS

Engagement

Senior engineering role over 3+ years

Two-Paned Job Search UX Redesign

Increased job applications 50% by redesigning search experience to two-pane layout enabling inline browsing without page navigation.

Problem

Job seekers had to click into separate pages to view job details, then use back button to return to search results. This multi-tab workflow created friction, interrupted browsing flow, and reduced application conversion.

Solution

Revamped job search UX to two-pane layout allowing jobseekers to browse listings and view details in same tab. Implemented inline navigation that updates URL for SEO while maintaining smooth UX. Created new indexable URLs for each job view state.

Impact

  • +50% job applications per user
  • New indexable job detail URLs
  • Maintained search context while browsing
  • Improved user satisfaction

Tech Stack

React.jsNext.jsTypeScriptSEO

Engagement

Product engineering leadership

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