A Product-Focused Engineer

I build real products, not demos.

Most of my work lives at the intersection of full-stack engineering, AI systems, and product thinking — turning messy, manual workflows into clean, automated software people actually use.

I’m currently building quietly.

• Shipping end-to-end products (idea → system → users)
• Designing AI systems with clear guardrails and real utility
• Automating boring, error-prone processes
• Building tools for education, operations, and internal teams
• Thinking like a founder, even when writing client's code

I don’t chase trends.
I chase problems that shouldn’t exist anymore.

An automated system for grading handwritten theory exams, built to reduce bias and inconsistency in manual marking.

• Visual Language Models interpret handwriting & diagrams
• LLM agents grade against official marking guides
• Async job processing + real-time progress updates
• Designed for scale and fairness in large exam systems

Stack: Next.js, FastAPI, LangGraph, PostgreSQL, Redis, RabbitMQ, Docker

An AI-powered educational platform that generates structured, illustrated learning articles from any topic.

• Custom prompt pipelines (no heavy AI frameworks)
• Image + content generation orchestration
• Built serverless, clean, and fast

Stack: Next.js, TypeScript, prisma, OpenRouter

An AI tool used by 50+ students to generate realistic internship logbooks in minutes.

• Smart activity splitting
• Multiple writing styles (technical, concise, detailed)
• Built from a personal pain point → real adoption

Stack: Next.js, TypeScript, OpenRouter

A domain-specific RAG-based assistant for hospitals.

• Vector-grounded responses
• Carefully engineered system persona
• Manually deployed on AWS EC2 (Linux, NGINX, SSH)

Stack: Next.js, OpenRouter, Vector DB, AWS EC2

Built multiple production systems for schools:

• Bursary Management Dashboard (finance, invoicing, analytics)
• School Website & CMS
• Chapel Letter Automation System (desktop automation)

Focused on replacing manual institutional workflows with software.

Frontend

• Next.js (App Router)
• Tailwind CSS
• ShadCN UI

Backend

• Convex
• Better-Auth
• Server Actions
• express
• fast api

AI

• Vercel AI SDK
• LLM / VLM orchestration
• RAG pipelines

Infra

• Vercel
• Modern, serverless-first deployments

I think in systems, not features.

Every project asks:

• What’s the real bottleneck?
• What breaks at scale?
• What should never be manual again?

If a solution isn’t usable, maintainable, and explainable — it’s not done.

• LinkedIn:https://www.linkedin.com/in/daniellucasadebayo
• X:https://x.com/coollad49
• Email:daniellucasadebayo@gmail.com

Quietly building. Shipping deliberately.