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 β’ Java β’ SQL
Spring Boot β’ FastAPI β’ REST APIs β’ Microservices
PostgreSQL β’ Redis
Apache Airflow β’ Apache Spark β’ ETL
Docker β’ GitHub Actions β’ Linux
Machine Learning β’ LLM Applications β’ RAG β’ Vector Search



- GitHub Profile Trophy
- Metrics
- WakaTime
- 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.



