I just relaunched my site, alireza.work, a one-page look at what I build and how I work.
I'm a senior full-stack & AI engineer in Cyprus. Over the last 7 years I've built:
→ a multi-tenant commerce platform running ~300 stores, with an AI operator on 100+ MCP tools
→ the backend of a crypto exchange with 100K+ users (as team lead)
→ open-source agent tooling for NestJS
What I help with now:
• AI products, built end to end, from architecture to real users
• Apps built with Lovable, Bolt, Base44 or Cursor, made secure and production-ready
• AI agents that plug into your existing business systems
If you have a prototype that works in the demo but you're nervous about real users, send me the repo. The first call is free.
Built a Conversion-Focused Shopify Store for True Fresh 🧼
Just completed a Shopify store for True Fresh, a brand specializing in washing machine and appliance cleaning products.
The goal was to create a clean, trustworthy storefront that makes it easy for customers to understand the product, see the results, and make a purchase.
What I built:
→ Figma to pixel-perfect Shopify development
→ Mobile-first responsive design
→ Conversion-focused product pages
→ Washing machine cleaning product showcases
→ Before & after cleaning comparisons
→ Product bundles & upsells
→ Customer reviews & social proof
→ FAQ sections to reduce purchase friction
→ Blog integration for SEO
→ Clean, modern UI/UX
→ Performance-focused development
Tech stack:
Shopify • Liquid • HTML/CSS • JavaScript
The store is designed around the product's key selling points: removing buildup and odors, easy monthly maintenance, compatibility with different washer types, and building trust through reviews and product education.
Candidates rehearse alone, then walk into the room without knowing which answers were weak.
That is why we built WithIntro around one rule: every spoken answer gets reviewed before the next question.
In the WithIntro case study, users prepared 75% more efficiently.
The AI feedback was the easy part to demo. The harder work was making practice structured enough to measure.
A good practice system helps candidates:
→ Answer out loud, the way a real interview runs
→ Read back a transcript of every answer
→ Get feedback on each answer while it is still fresh
→ Get the next question based on what was weak
→ Track their progress from one session to the next
Under the hood: voice capture, Whisper transcription, Claude-powered feedback, adaptive learning paths and an analytics dashboard, built on Next.js and Tailwind.
The best practice tool does not only ask questions.
It shows you what to fix before the next one.
At Zenveus, we build the systems behind AI products, so the feature that looks good in a demo keeps working for real users.