Building AI systems, event-driven platforms, and scalable backend architectures.
- AI & Data Engineering
- Gubkin University Tashkent
- Interested in AI, RAG, Data Engineering, Distributed Systems
- Designing enterprise-grade platforms and backend architectures
- Tashkent, Uzbekistan
Enterprise-grade AI oral examination ecosystem:
- Speech-to-Speech
- RAG
- Multi-Agent Evaluation
- Automated Grading
- Audit Pipeline
- Fault Tolerance
Unified event ecosystem:
- Event Sourcing
- CQRS
- SSO
- RBAC
- Workflow Engine
- Analytics
Modern content platform:
- CMS
- SEO
- Search
- Media Management
- Migration Strategy
- Event Sourcing
- CQRS
- Domain Driven Design
- RAG Systems
- Distributed Systems
- MLOps
- Identity & Access Management
- Observability
Python • Java • SQL
Spring Boot • FastAPI • REST APIs • Microservices
PostgreSQL • Redis
Apache Airflow • Apache Spark • ETL
Docker • GitHub Actions • Linux
Machine Learning • LLM Applications • RAG • Vector Search



- GitHub Profile Trophy
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- Snake Contribution Animation
- Architecture Repository
- Data Engineering Portfolio
- Apache Kafka
- Kubernetes
- Advanced Spark
- MLOps
- Distributed Systems
- Enterprise Architecture
- GitHub Discussions
Build systems that are maintainable, observable, scalable and well documented.




