Full-Stack AI Applications
End-to-end AI products: model backend, inference APIs, dashboards, and deployment.
What it covers
Ship complete AI applications — from model inference backends to operator dashboards and deployment. Built on Python, FastAPI/Flask, Docker, and production habits from deployed AI systems such as Digital Verified Driver and Blood Cell Diagnostics.
Business value
Get a usable AI product path, not only a notebook — APIs, UI, logging, and deployment included.
Features
- Inference APIs and service architecture
- Dashboards and operator-facing UI
- Database logging and event history
- Containerized or platform deploys
- Handover-ready documentation
Process
- Product framing — Define users, flows, and the minimum AI surface that creates value.
- Build the stack — Implement model services, APIs, UI, and data persistence together.
- Deploy & hand over — Ship a deployable package with clear operations notes and next steps.
Technologies
- Python
- FastAPI
- Flask
- PyTorch
- TensorFlow
- MongoDB
- Docker
- REST APIs
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