I will develop a production-ready face recognition service — from idea to deployment

I provide full-cycle development of services based on face recognition technologies — from initial concept to a scalable, production-ready system.

What you get:
- Technical specification (based on your business goals and constraints)
- System architecture design (scalable, fault-tolerant, cloud or on-prem)
- Prototype / MVP for validation and demos
- Production-ready implementation
- Deployment (Docker / Kubernetes)
- Monitoring and observability setup (metrics, logs, alerts)

My expertise includes:

- Building high-load face recognition systems (millions of templates, real-time processing)
- Designing distributed architectures (sharding, message queues, async pipelines)
- Integration with existing systems via API, WebSocket, Webhook
- Optimization for performance (low latency, high throughput)
- Experience with edge + cloud setups

Setting up reliable data pipelines and synchronization between services
Hands-on work with Kubernetes, Python, PostgreSQL, Kafka, RabbitMQ and scalable microservices

Use cases I can help with:
- Retail loss prevention (blacklist / whitelist recognition)
- Access control and attendance systems
- Remote Identification and KYC
- Safe city / surveillance solutions
- Customer analytics and identification
- Custom AI-powered vision services

Why me:
I don’t just build prototypes — I design systems that actually work in production: stable, scalable, and maintainable.