Modern interfaces
Next.js, React, TypeScript, responsive UI, accessibility, design systems, and motion.
Full Stack Developer / AI-capable product engineer
Hi, I am
I design and ship production web platforms with Next.js, React, Go, Python, PostgreSQL, Docker, and Azure. AI/ML is part of the toolkit, not the whole story.
About me
I build the visible product and the systems behind it: interfaces, APIs, data models, integrations, deployment workflows, and applied AI features when they create real value.
Next.js, React, TypeScript, responsive UI, accessibility, design systems, and motion.
Go, FastAPI, REST, GraphQL, authentication, third-party integrations, and background workflows.
PostgreSQL, Redis, Docker, Azure Static Apps, Container Apps, storage, and CI/CD.
Audio models, voice interfaces, Twilio, STT/TTS, Python ML pipelines, and inference APIs.
Every layer gets the same level of care, from clean TypeScript components to Go services, database models, deployment automation, and production-ready AI workflows.
Featured work
Five shipped pieces that show the full range: commerce, education, restaurant experiences, cloud backends, and applied AI.

2026
Pastry Academy & Catering Platform
Premium pastry academy and catering platform in Mozambique, covering shop, academy, workshops, catering, gallery, login, bilingual routing, SEO metadata, and structured organization schema.

2024
Islamic Calligraphy Art Gallery
Premium e-commerce platform for Islamic calligraphy and Arabic art, with React frontend, Azure deployment, containerized backend, Blob Storage media, and SEO optimization.

2024
Premium Restaurant Experience
Elegant restaurant website for a premium seafood dining experience in Maputo, with menu showcase, wine selection, event booking, and WhatsApp reservation flow.

2025
Educational Platform with AI
EdTech platform with student, teacher, and admin portals, predictive analytics, PostgreSQL, Redis, GraphQL, CI/CD, and multilingual product support.

2025
Real-time emotion detection from speech
Speech emotion recognition system using Wav2Vec2 and PyTorch, served through FastAPI with model evaluation, inference optimization, and documented results.
Field notes
Short technical notes make the thinking behind the work visible: architecture, product tradeoffs, deployment, and applied AI.
Open blogHow to package an ML model behind a stable endpoint and keep the product experience dependable.
What each project should show: constraints, architecture, deployment, tradeoffs, and outcomes.
SEO, media, product pages, authentication, and the quiet backend work behind polished storefronts.
Contact
Send a note about your product, platform, integration, or AI-enabled workflow. I will reply with a practical next step.