I’m Joshua Segu, a full-stack and AI SaaS developer building AI-powered education products with a strong focus on shipping clean, maintainable systems. I work primarily with Next.js and TypeScript, and I use Supabase for authentication, data modeling, RLS security, and storage—so the app logic, security boundaries, and user experience all work together. My recent experience includes designing RAG pipelines for educational documents (PDF ingestion, chunking, embeddings, pgvector retrieval) and creating structured LLM workflows that produce learning outcomes grounded in sources. I also build SaaS features like role-based access, usage limits, tiered entitlements, Stripe-ready subscription architectures, and student learning workflows—plus gamification elements like XP and progress so AI feels like a natural part of the product.…

Joshua Segu

I’m Joshua Segu, a full-stack and AI SaaS developer building AI-powered education products with a strong focus on shipping clean, maintainable systems. I work primarily with Next.js and TypeScript, and I use Supabase for authentication, data modeling, RLS security, and storage—so the app logic, security boundaries, and user experience all work together. My recent experience includes designing RAG pipelines for educational documents (PDF ingestion, chunking, embeddings, pgvector retrieval) and creating structured LLM workflows that produce learning outcomes grounded in sources. I also build SaaS features like role-based access, usage limits, tiered entitlements, Stripe-ready subscription architectures, and student learning workflows—plus gamification elements like XP and progress so AI feels like a natural part of the product.…

Available to hire

I’m Joshua Segu, a full-stack and AI SaaS developer building AI-powered education products with a strong focus on shipping clean, maintainable systems. I work primarily with Next.js and TypeScript, and I use Supabase for authentication, data modeling, RLS security, and storage—so the app logic, security boundaries, and user experience all work together.

My recent experience includes designing RAG pipelines for educational documents (PDF ingestion, chunking, embeddings, pgvector retrieval) and creating structured LLM workflows that produce learning outcomes grounded in sources. I also build SaaS features like role-based access, usage limits, tiered entitlements, Stripe-ready subscription architectures, and student learning workflows—plus gamification elements like XP and progress so AI feels like a natural part of the product.

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Skills

Experience Level

Prompt Engineering
Expert
SaaS
Expert
Stripe
Expert
React JS
Expert
TypeScript
Intermediate
PostgreSQL
Intermediate
Tailwind
Beginner

Language

Work Experience

Full-Stack Developer & AI Product Builder at LearnBridgeEdu
April 5, 2025 - Present
Building and developing LearnBridgeEdu, an AI-powered education platform for teachers, students and schools. I work across the product, frontend and backend using Next.js, React, TypeScript, Tailwind CSS, Supabase and PostgreSQL. My work includes AI/LLM integrations, RAG and vector search with pgvector, document ingestion, authentication and role-based access, teacher and student dashboards, school management features, learning tools, gamification, analytics and API integrations. I also work on product architecture and UI/UX, taking features from an initial idea through technical planning, implementation, testing and iteration.

Education

BSc (Hons) Computing pathway at IPMC University College / University of Greenwich collaboration
June 17, 2026 - August 31, 2029

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet
    LearnBridgeEdu — AI-Powered Teaching & Learning Platform

    LearnBridgeEdu is one of the biggest products I’ve worked on. It’s an AI-powered education platform built around how teachers teach and how students learn.

    I worked across both the product and technical side, building it with Next.js, TypeScript, Tailwind CSS, Supabase, PostgreSQL and AI/LLM APIs.

    Some of the features I’ve worked on include:

    • AI chat for teachers and students
    • AI lesson planning and assessment tools
    • Teacher, student and school dashboards
    • Authentication and role-based access
    • Classes and student management
    • Document uploads and processing
    • Student practice and learning tools
    • Gamification with XP and learning activities
    • Analytics and usage controls

    A major part of my work has also been the RAG system behind the platform. Educational PDFs, textbooks and curriculum documents are processed and converted into embeddings, with pgvector used for vector search. This allows the AI to retrieve relevant information from trusted educational material when generating responses.

    I’ve also worked on improving the ingestion pipeline so the system understands things such as subjects, strands, sub-strands and other curriculum structure instead of treating an entire textbook as random pieces of text.

    This project has given me experience working across frontend development, backend/database design, AI integration, RAG, document processing, authentication and the product decisions involved in turning AI features into something people can actually use.

    Tech: Next.js • React • TypeScript • Tailwind CSS • Supabase • PostgreSQL • Python • pgvector • RAG • LLM APIs • PWA

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