Saadaan Hassan
AI SaaS & MVP builder for startups
New to Contra
Saadaan is ready for their next project!
I rebuilt my portfolio into a product experience, not a static page.
Most dev portfolios just list projects. I focused on:
→ Case studies over project lists
→ Decisions, trade-offs, and thinking
→ A UX that feels like a product, not a page
Then I added an AI layer on top.
Now you can explore my work interactively, ask questions, understand context, and see how I think.
Built with Next.js, Groq, and Vercel.
This is the same approach I bring to client work:
→ Product-first engineering
→ Interactive web experiences
→ Fast, clean MVP execution
If you’re building a SaaS or AI product, I can help you ship this kind of experience.
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AI-Powered Resume Builder Development for GetSetCV
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Development of Gripco LIMS Platform
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I recently implemented Strapi in a client project to solve a simple but expensive problem:
Content updates were too dependent on developers.
Every small change required:
→ backend updates
→ schema changes
→ frontend adjustments
This slowed down both the team and the client.
So instead of building a custom admin system from scratch, I used Strapi as a content layer.
It allowed:
→ dynamic page creation
→ reusable content blocks
→ client-controlled updates
→ faster iteration without code changes
Not every project needs this approach.
For highly custom systems, a traditional backend still makes more sense.
But for content-heavy websites where flexibility matters, it removes a lot of unnecessary engineering overhead.
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Most students don’t struggle because they lack ability.
They struggle because they lack direction.
I built Career Genie to solve that gap.
It’s an AI-powered career and scholarship intelligence system that doesn’t just suggest careers, it continuously builds an understanding of the student over time.
Instead of static recommendations, the system adapts as the user evolves:
their skills, interests, academic background, and behavior.
It’s built around multiple AI agents working together:
• Career Agent → career path reasoning
• Resume Agent → role alignment and optimization
• Mentor Agent → ongoing guidance and conversation
On top of that, I integrated a RAG-based knowledge system for careers, scholarships, and courses, along with live market context to keep recommendations relevant.
The goal wasn’t to build a recommendation tool.
It was to move toward a system that behaves more like intelligence than static advice.
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