Experience & Skills

SEO and frontend engineering on Talent.com's jobseeker platform at 5-8M pageviews/day: organic indexation recovery, structured data, full-stack platform modernization, and AI-assisted developer tooling.

• Led the research and recovery of a Google Jobs indexing outage, proving 15.9M rejections were a daily quota rather than a rate limit and restoring new job submissions from zero to 1.5M+ a day(0 to 1.5M+ jobs a day)Read case study
• Tuned PostgreSQL performance on a 600 GB table, cutting a failing 15.8-second query to 87 milliseconds and finding the stuck process that blocked database cleanup(181x faster query)Read case study
• Measured 45% duplication across job data sources and led a cross-team decision on showing one copy of each job without losing revenue(45% of jobs duplicated)Read case study
• Proved a suspected memory leak in Kubernetes was a Node.js configuration problem, then validated the fix with a one-hour load test and zero crashes(0 crashes under load)Read case study
• Found scrapers made up 22.5% of traffic counted as human, corrected business analytics, and root-caused a 3.2x traffic surge outage(22.5% of "human" traffic)Read case study
• Stopped software releases from dropping 45.7% of apply clicks, secured the production key in AWS Secrets Manager, and fixed injection risks in user input handling(45.7% click loss to flat)Read case study
• Built a self-improving generative AI engineering platform whose agents flag missing skills and turn repeated manual work into new automation(17 new skills since June)Read case study
• Identified $60K/year in recoverable Google Geocoding spend authoring the Location Service Consolidation PRD, baseline confirmed with Finance($60K/year savings)Read case study
• Migrated 4 frontends (including the 5-8M pageviews/day jobseeker app) off next-auth to Better Auth behind a dual-impl flag with zero auth downtime(4 frontends, zero downtime)Read case study
• Raised jobseeker test coverage from 59% to 90.92% reviving and writing ~90 Jest suites, building a regression net for a 5-8M pageviews/day site(59% → 90.92%)Read case study
• Built the first end-to-end and integration test suite for the jobseeker frontend (Playwright) covering search, /view, auth, and apply flows under CI(First e2e + integration coverage)Read case study
• Made Google job indexing reliable on the highest-traffic organic page by batching the Indexing API and dual-gating JobPosting JSON-LD to genuinely indexable jobs(5-8M pageviews/day)Read case study
• Root-caused a soft-404 crisis on /view that peaked at 39.5M URLs in Search Console, pushing for scoped Googlebot logs that exposed POST and RSC flight-data requests returning tiny 200s (~14.5M/day) and shipping the redirect and bot-detection fixes(39.5M peak, ~14.5M/day root-caused)Read case study
• Built a team-shared multi-agent AI code review pipeline that fans out specialist checks (tests, security, accessibility, performance) on every merge requestRead case study
• Built a self-serve AI development platform of 30+ Claude Code skills wrapping GitLab, Jira, Confluence, Grafana, Kafka, AWS, and kubectl behind a routing layer, checked into the monorepo for the team(30+ skills, 10+ systems)Read case study
• Carried the 5-8M pageviews/day jobseeker frontend from 3 years behind to current (Next.js 14→16, React 19, next-intl v4, Nx 22) through a staged rollout, live in production with zero regressions(Next.js 14→16, 5-8M views/day)Read case study

Led engineering at The Muse, building job search platforms that help people find work they actually want. Spanned technical planning, mentoring, hands-on architecture, and cross-functional collaboration with Product, Design, and leadership.

• Accelerated build times from 45+ min to 75 sec completing migration to Next.js/TypeScript with Claude Code(45+ min → 75 sec)Read case study
• Increased article pageviews 3,500 users/month launching Maya, The Muse's first AI-powered content discovery tool surfacing 24K+ articles(+3,500 users/month)Read case study
• Improved job applications 50% by redesigning search to two-pane layout enabling inline browsing(+50% applications per user)Read case study
• Boosted job applies 10% and CTR 15% through dynamic forms integrating multiple ATS partners for Google Jobs(+15% CTR, +10% applies)Read case study
• Achieved all-green Lighthouse scores (Perf 91, A11y 100, SEO 96) replatforming Company Profiles to Next.js(Perf 62→91, A11y 96→100, SEO 89→96)Read case study
• Launched white-label job search platform generating projected $153K-$230K annual revenue per partner tenant($153K-$230K/year/tenant)Read case study
• Increased SEO visits 74K/month by replacing infinite scroll with server-side pagination(+74K/month SEO visits)Read case study
• Increased ad revenue 15% migrating to Raptive with improved layouts and formats(+15% revenue)Read case study
• Improved searches per user 13% through personalized search features(+13% searches per user)
• Formalized Claude as The Muse's first AI contributor handling GitHub issues, code review, and autonomous tasks

Led engineering strategy and product delivery across The Muse. Set architectural direction, guided roadmap priorities, mentored engineers, and improved development velocity.

• Increased job tile clicks 21.9% and views per user 20% through complete UX refresh achieving perfect Web Vitals(+21.9% clicks, +20% views/user)Read case study
• Generated $994K annual revenue replacing a 10+ year-old display ad system (predating Google Ad Manager, with unfiltered AdSense) with a modern ad integration across The Muse platform($994K annual revenue)
• Improved CTR 22% through systematic UX experiments(+22% CTR)
• Increased job search conversions 13% launching Trending Search module through end-to-end ownership(+13% conversions)
• Accelerated code review velocity 30% and reduced bugs standardizing ESLint and Jest across all teams(30% faster reviews)
• Modernized page templates extracting from legacy Tornado/Python monolith and rebuilding as scalable microservices

• Achieved 90%+ green Core Web Vitals improving rankings and conversions(90%+ green)Read case study
• Increased organic SEO traffic 10x deploying JSON-LD structured data and performance refactors(10x traffic increase)Read case study
• Cut build times from 45 min to 75 sec modularizing repos and overhauling CI/CD pipelines(45 min → 75 sec)
• Improved LCP and conversions reducing site load 4 seconds sitewide(-4 seconds load time)
• Reduced regression bugs 30%+ championing test automation, linting, and CI/CD(30%+ fewer bugs)
• Scaled team delivery through standardization (ESLint, Jest, Puppeteer, CLA) and mentorship
• Owned full-stack performance monitoring (Web Vitals, GA, SEO, Datadog)

Worked with Director of Engineering to shape technical strategy, extend platforms, and lead new product development. Modernized legacy systems using Node, React, Python, AWS, Postgres.

• Accelerated deployments 50% and reduced incidents replatforming CMS and article renderer using KOA, React, Docker(50% faster deployments)
• Accelerated code review 30% and reduced bugs standardizing ESLint and Jest across teams(30% faster reviews)
• Reduced project setup from 2-3 weeks to 2-3 days building reusable repo template (Next.js, KOA, Docker, CircleCI) adopted org-wide
• Modernized job search, article rendering, and homepage rebuilding as scalable microservices

Led ad-platform modernization across Condé Nast's premier brands (Vogue, The New Yorker, Wired, GQ, Bon Appétit, Vanity Fair, etc.) where every millisecond of latency impacted global revenue and user trust.

• Increased ad viewability from 45% to 85% rebuilding infrastructure for 30+ global publications serving 229M+ monthly users(45% → 85% viewability)Read case study
• Optimized monetization pipelines serving 229M+ monthly users and 1B+ monthly video views(229M users, 1B video views)
• Accelerated ad render times removing legacy jQuery dependencies and reducing bundle size
• Reduced integration defects achieving 80%+ test coverage through standardized testing and documentation org-wide(80%+ test coverage)
• Designed shared UI tooling and plugin architecture adopted across multiple editorial brands
• Led code reviews, mentored junior engineers, coordinated with major ad vendors and programmatic exchanges
• Authored technical RFCs, migration plans, and build modernization efforts

Built and optimized consumer health platforms reaching 30M+ monthly users, delivering performance, accessibility, and monetization improvements.

• Improved page load time 54% and cut network requests 53% optimizing Core Web Vitals for 30M+ monthly users(-54% load time, -53% requests)Read case study
• Increased ad CTR 86% while reducing impressions 29% driving higher programmatic yield(+86% CTR, -29% impressions)
• Engineered responsive, mobile-first architecture using SASS (BEM), Bootstrap, and modular JavaScript
• Led integrations with key monetization partners (Google, Swoop, Taboola)
• Developed internal tools used across Product, Design, and Content teams
• Mentored junior developers and presented frontend practices in engineering forums

Founded and led software firm specializing in digital solutions for foster care and child welfare agencies. Designed and delivered web platforms adopted statewide and across the Midwest.

• Accelerated foster/adoption placements 50%+ for 12K+ children cutting statewide processing time(50%+ faster for 12K+ children)Read case study
• Saved $400K+/year eliminating manual paperwork and replacing data-entry roles with automated systems($400K+/year savings)
• Built 5+ enterprise systems replacing paper, email, and spreadsheets (parent recruitment, child placement, training compliance, mentorship forums, developmental evaluation)
• Expanded child welfare platforms across state lines for recruitment, training, and assessments
• Built web-based developmental assessment system standardizing behavioral evaluations for clinicians
• Implemented secure single sign-on (Exchange/ColdFusion) and encrypted remote access for field staff years before modern cloud platforms
• Collaborated with state leadership to increase foster parent recruitment and community awareness