You will get a custom REST API with database integration and documentation
Project details
You get a production-grade REST API built with FastAPI and Python, not boilerplate from a tutorial. Every API I build includes Pydantic validation on all inputs, auto-generated OpenAPI/Swagger documentation, proper error handling, and structured logging. Database layer uses PostgreSQL or SQLite with connection pooling and write queues to prevent locking under load. Authentication via JWT tokens with refresh rotation, API keys, or both. I build modular router architectures where each domain gets its own clean module, making the codebase maintainable as it grows. Deployment is Docker-containerised with health check endpoints, so it runs the same in development as production. I have built and operate 9 FastAPI applications with 34 modular routers totalling 53K+ lines of production API code, handling everything from real-time SSE streaming to multi-provider LLM routing to distributed job orchestration across a 7-node mesh. This is not a weekend project — it is production infrastructure.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Loki
AI Platform Engineer | Full-Stack Systems, NLP & Multi-Agent AI
East Kilbride, United Kingdom - 9:43 pm local time
What that means in practice:
Full-stack AI platforms — conversational intelligence systems with ABSA, entity extraction, geolocation, 21-emotion sentiment analysis, emotional arc tracking, topic drift detection, and long-term memory via vectorized stores (ChromaDB, Weaviate) with clustering and lateral links. Not toy projects — production systems processing 180k+ messages with real NLP depth.
Document intelligence — multi-pass extraction, cross-referencing, conflict detection, and synthesis pipelines that take raw documents in and produce structured analysis and formatted PDF output. Handles inconsistent formats, OCR, and multi-hundred-page documents.
Multi-agent AI systems — tool-calling agents with self-correction, persistent memory, and orchestration across distributed infrastructure. Unified inference engine spanning 6 AI providers (Claude, OpenAI, Mistral, Vertex AI, Ollama, Puter) with automatic routing and failover.
Web platforms & dashboards — FastAPI backends, real-time UIs, governance dashboards, research tools, and integration gateways. Full deployment with launchd/systemd service management, health checks, and monitoring.
Native iOS apps — SwiftUI applications with AI backends, currently in App Store review.
Infrastructure — 7-node distributed mesh with GPU inference (RTX 4070 Ti SUPER + M1 Ultra 128GB), automated job queuing, cross-node messaging, audit trails, and zero-downtime operation.
I ship working systems with proper validation, logging, and evidence of completion. If you need a platform built — not a prototype, not a notebook — I can deliver.
Steps for completing your project
After purchasing the project, send requirements so Loki can start the project.
Delivery time starts when Loki receives requirements from you.
Loki works on your project following the steps below.
Revisions may occur after the delivery date.
Schema design and project setup
Design database schema (PostgreSQL or SQLite), define Pydantic models for request/response validation, set up FastAPI with auto-generated OpenAPI docs
Endpoint development and auth
Build all CRUD endpoints with input validation, JWT or API key authentication, CORS middleware, error handling, and rate limiting where needed