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Hello, I'm

Muyah Gaious A.

Full-stack engineer building AI-powered products.

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  • 1

    Full-stack product engineering

    Production web systems built end to end, not prototypes that need rewriting.

  • 2

    AI where it earns its place

    LLM gateways, computer vision, and predictive models — with the guardrails.

  • 3

    Cross-platform mobile

    One Flutter codebase shipping to Android, iOS, and web.

7

projects published

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2026web

Kodschul Seminar Management

Seminar scheduling platform with trainer assignment, conflict detection, and AI-powered trainer matching.

  • Next.js
  • TypeScript
  • PostgreSQL
  • Docker Compose
  • GitHub Actions
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What I take on, and what working together looks like.

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I build production web systems end to end — containerised FastAPI services with real migrations, TypeScript frontends, and Flutter clients on top.

Lately I've been putting AI where it earns its place: a multi-provider LLM gateway with per-role quotas, a GAN-based clinical trial simulator, and a biometric model that runs offline on-device.

I care about the boring parts that make software real — migrations, CI, health checks, and constraints enforced by the database rather than hoped for in the app.

I'm finishing a B.Eng in Computer Engineering at the University of Bamenda, and I'm open to full-stack and AI engineering roles. If you're building something that needs to actually run in production, let's talk.

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