Performance & Infrastructure

Make it fast, cheap to run, and hard to break

A slow, flaky, or expensive app quietly bleeds users and money. I find out why yours is slow, fix the parts that actually matter, and move it onto infrastructure that stays fast under load without a scary hosting bill. One senior developer owning the whole stack — front end, back end, and the servers underneath.

Pricing

from$2,500

Starts with a fixed-price audit, quoted before we begin.

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Why speed and reliability are business problems, not tech problems

Every extra second your app takes to load costs you conversions — users leave, sales don't complete, and sign-ups stall. Google ranks slow sites lower, so speed directly affects how many people ever find you. And an app that falls over under traffic, or one that runs on bloated, over-provisioned servers, burns money whether anyone's using it or not. Performance isn't polish; it's revenue, growth, and margin. I've spent 20+ years building software, and I treat speed and reliability as features your users can feel.

Front-end performance

Most of the pain a user feels lives in the browser. I profile your Core Web Vitals and fix the things that move them: LCP(how fast the main content appears), CLS (layout jumping around while it loads), and INP (how quickly the page responds when someone taps or clicks). In practice that means shrinking oversized JavaScript bundles, cutting render-blocking work, lazy-loading what isn't needed up front, and getting images right — proper formats, sizes, and compression instead of shipping full-res photos to a phone. The goal is a page that feels instant on a mid-range device on a normal connection, not just on your laptop.

Back-end and data

When a page is slow but the front end is clean, the problem is usually behind the API. I hunt down slow database queries, killN+1 query patterns that quietly fire hundreds of round-trips per request, add the right indexes, and put caching where it earns its keep so you're not recomputing the same answer on every hit. I also trace real API latency end to end, so a request that used to take a second returns in a fraction of it — and stays fast when traffic climbs.

Infrastructure and deployment

Fast code still needs somewhere fast to run. I set upCI/CD pipelines so deploys are one push, automated, and reversible — no more risky manual releases. I move workloads to the edge and to serverless where it makes sense so your app runs physically close to your users worldwide. In production I run onCloudflare Workers, backed by a global CDN, with monitoring and alerting wired up so you hear about a problem before your users do. This is the same class of setup I used on anews platform tuned for 200,000 daily visitors, where staying fast under real traffic was the whole job.

Cutting hosting cost without cutting reliability

A lot of hosting bills are the result of throwing bigger servers at a problem that was really a slow query or a missing cache. I right-size what you're running, move suitable workloads to edge and serverless models where you pay for what you use instead of idle capacity, and remove the waste — without dropping the redundancy that keeps you online. The usual outcome is a lower monthly bill and a faster, more resilient app, not a trade-off between the two.

How an engagement works

I measure first. Before changing anything, I benchmark your real performance — load times, Core Web Vitals, query timings, error rates, and cost — so we know exactly where you stand. Then I fix what actually moves the needle, in priority order, biggest win first, instead of chasing micro-optimizations that don't matter. And I prove it: every change comes with before-and-after numbers you can see, so you're not taking my word that it got faster. You'll always know what changed, why, and what it bought you, in plain English.

Who this is for, and why me

This is for founders and teams whose product is working but creaking — sign-ups converting worse than they should, pages that drag, a hosting bill that's climbing faster than usage, or an app that wobbles at peak. I've done this on products under real load: anews platform serving 200,000 daily visitors, anevent ticketing platform that handled 20,000+ registrants, and aneducation app that grew past 200,000 downloads. I'm a full-stack developer, so I can follow a slowdown wherever it lives — browser, API, database, or server — instead of pointing at someone else's layer. And I'm Top Rated on Upwork with 100% Job Success, so the work gets finished and it holds up.

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