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I engineered a hybrid-rendered Next.js 15 frontend leveraging Incremental Static Regeneration (ISR) to absorb repeat traffic at the edge, reducing public GET requests to near zero. The core system is powered by a custom Node.js/Express REST API, containerized with Docker and deployed for auto-scaling on Google Cloud Run. To bridge the cached frontend with the dynamic CMS, I implemented an on-demand ISR webhook. This allows admins—secured via stateless HttpOnly JWT cookies—to publish updates that instantly bypass the cache and go live globally in seconds.
The publish flow is the part I'd show a client. An editor updates the CMS once, and the page refreshes worldwide in seconds without a developer touching it.
Exactly, Eric! I actually engineered this specific setup for a company recently. Giving their team the ability to instantly publish without creating a bottleneck for the developers was a huge win for them.
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New client project → Framer development
For GAA Design Studio.
Earlier this year, I developed an MVP website for this studio, but this time we rebuilt it entirely for scalability, to optimize processes and client management inside the website.
I prepared this little video to showcase the project.
Hope you like it → Aspirational vibes only
Sound ON
FramerWeb DevelopmentaftereffectsFramer Website DevelopmentInteraction DesignAdobe After EffectsFigma
Built a full-stack job portal aggregating government, private, IT, and other sector jobs. Developed the platform with Next.js 14 and Supabase PostgreSQL, including Google OAuth authentication. Created a Python web scraper using BeautifulSoup and Requests to collect job listings automatically, with daily execution through GitHub Actions. Deployed on Vercel with GitHub CI/CD and implemented responsive UI and SEO optimization.
The scraper is the part most people underestimate on a job board. Listings move, sites change markup, and half your value is freshness. Honestly just curious how you're handling rescrapes -- full sweep on a schedule, or diffing against what's already in Postgres? I've built...
I u se 5% AI and 95% my own creativity in this whole design
I use AI for:
- checking if the copywriting solves the problem for the site's target audience
- generating text styles
- checking if there are any colour or typography issues
all the other stuff was my part:
- create the copywriting
- create the structure of the site
- designing visuals to match the copywriting
my point is: don't let AI do all the work
let it do all the boring stuff and do the fun stuff yourself
PS: I am open for projects: alikashif.co
