Leonid Leshukov
Astana, Kazakhstan
Leonid Leshukov
Development of Services with Face Recognition
Category : Web development
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)
- Setting up reliable data pipelines and synchronization between services
- Hands-on work with Kubernetes, RabbitMQ, PostgreSQL, and scalable microservices
Why me:
I don't just build prototypes - I design systems that actually work in production: stable, scalable, and maintainable.
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)
- Setting up reliable data pipelines and synchronization between services
- Hands-on work with Kubernetes, RabbitMQ, PostgreSQL, and scalable microservices
Why me:
I don't just build prototypes - I design systems that actually work in production: stable, scalable, and maintainable.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- I provide consulting, architecture design, development, and technical support for face recognition and liveness detection solutions from idea validation to production deployment. My focus is helping ...
- 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 sca ...
Head of full-stack team focused on Face Reconition Platform Development.
Technical Stack:
- Python, Django, FastAPI
- C++, ONNX Runtime, CUDA
- Javascipt, ReactJS
- Postgres, RabbitMQ, Kafka
- Kubernetes, Docker, Helm
- Grafana, Prometheus, Loki, Alloy
Use Cases:
- Black List and Safe City - identification of person from watchlists on CCTV
- Attendance Systems and Access Control
- Remote Identification (face matching, liveness)
Technical Stack:
- Python, Django, FastAPI
- C++, ONNX Runtime, CUDA
- Javascipt, ReactJS
- Postgres, RabbitMQ, Kafka
- Kubernetes, Docker, Helm
- Grafana, Prometheus, Loki, Alloy
Use Cases:
- Black List and Safe City - identification of person from watchlists on CCTV
- Attendance Systems and Access Control
- Remote Identification (face matching, liveness)
Development of SaaS product for digital signage analytics.
- Docker
- Django
- Postgres
- Nginx
- Docker
- Django
- Postgres
- Nginx
Development of a cross-platform application (Windows, Linux, Android) for demographic analytics of traffic in front of digital signage screens.
- 🇬🇧 English
- 🇷🇺 Russian
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