I'm a Python Backend Engineer from Uzbekistan with a passion for building practical, production-ready software that solves real business problems. With a strong foundation in backend architecture, AI integrations, and SaaS development, I focus on creating scalable systems that deliver value.
My expertise spans:
- Backend Engineering — Designing and building robust REST APIs, microservices, and distributed systems with Python, Django, and FastAPI
- AI Integrations — Connecting large language models with business workflows through RAG, AI Agents, and intelligent automation
- SaaS Development — Architecting multi-tenant platforms with subscription management, secure authentication, and production-grade deployment
- System Architecture — Implementing clean architecture patterns, authentication/authorization, database design, and deployment strategies
I believe in writing clean, maintainable code and shipping fast without compromising quality. Whether it's building from scratch or optimizing existing systems, I approach every challenge with an optimist's mindset and a problem-solver's determination.
| Main role | Python Backend Engineer |
| Core focus | REST APIs, SaaS backends, AI integrations, automation |
| Mindset | Optimist, fast learner, creative problem solver |
| Engineering style | Build clean, ship fast, improve continuously |
| Current direction | Backend + AI + automation for business workflows |
I design and implement production-grade backend architectures with a focus on scalability, security, and maintainability.
| Category | Technologies & Practices |
|---|---|
| REST APIs | Django REST Framework, FastAPI, API versioning, pagination, filtering, throttling |
| Authentication | JWT, OAuth2, Social Authentication, Meta OAuth, Session Management |
| Authorization | Role-based access control (RBAC), Permission systems, Scope-based security |
| External APIs | Meta Graph API, Instagram Business API, Facebook Page API, Webhook Integration |
| Database | PostgreSQL, SQLite, Query optimization, Indexing strategies, Migrations |
| Background Tasks | Celery, Task queues, Scheduled jobs, Webhook processing |
| Architecture | Clean Architecture, Repository Pattern, Service Layer, DTOs |
| Deployment | Docker, Docker Compose, Nginx, Gunicorn, Production server configuration |
| Security | Webhook signature validation, CORS, CSRF, Rate limiting, Input validation |
Production restaurant price comparison platform helping users find the best dining deals.
Live: topnarx.uz
| Description | A comprehensive restaurant price comparison platform that aggregates and compares menu prices across restaurants in Uzbekistan |
| Highlights | Secure JWT authentication, REST API architecture, PostgreSQL optimization, Docker deployment |
| Stack | Python Django DRF PostgreSQL Docker JWT Nginx Gunicorn |
| Architecture | Service-based architecture with comprehensive API documentation via Swagger/OpenAPI |
| Current Status | Production ready, serving users daily |
AI-powered Instagram business automation platform for intelligent customer engagement.
Live: chatplace.avioraai.uz
| Description | A sophisticated SaaS platform that connects Instagram Business accounts to provide AI-powered auto-replies, lead management, and CRM capabilities |
| Highlights | Meta Graph API integration, Webhook verification & signature validation, Instagram OAuth, Facebook Page linking, RAG-based AI responses |
| Features | AI auto-reply system, Knowledge base management, Multi-workspace architecture, Lead collection pipeline, Subscription-ready system, Developer mode testing |
| Stack | Django DRF PostgreSQL OpenAI LangChain RAG Docker Meta API OAuth2 |
| Architecture | Clean architecture with service layers, webhook handlers, task queues, and secure API integration |
| Lessons Learned | Production-ready OAuth implementation requires careful state management, secure token storage, and robust error handling |
| Supported | Multiple Instagram Business accounts through Facebook Pages with secure implementation practices |
AI-based knowledge and library assistant for intelligent document retrieval.
| Description | A document-aware AI assistant that enables intelligent information retrieval and knowledge management through natural language interaction |
| Highlights | Retrieval-Augmented Generation implementation, document processing pipeline, FastAPI backend optimization |
| Stack | FastAPI LangChain RAG OpenAI Python |
| Architecture | RAG pipeline with document ingestion, vector storage, and AI-powered query processing |
AI-focused project for experimenting with intelligent workflows, assistants, and automation ideas.
| Description | An experimentation platform for building and testing intelligent workflow automation, AI assistants, and creative automation solutions |
| Stack | Python AI Automation LangChain |
| Focus | Prototyping innovative AI workflows and automation strategies for business applications |
- System Design — Deepening knowledge in distributed systems, scalability patterns, and high-performance architecture
- AI Agents — Building autonomous systems that can execute complex workflows and make intelligent decisions
- Cloud Infrastructure — Exploring AWS, GCP, and advanced deployment strategies
- Production Monitoring — Implementing comprehensive monitoring, logging, and error tracking systems
| Principle | Philosophy |
|---|---|
| Clean Code | Write code that tells a story — readable, maintainable, and self-documenting |
| Ship Fast | Balance speed with quality — deliver value early and iterate continuously |
| Production First | Always design with production in mind — security, scalability, and reliability are non-negotiable |
| Continuous Learning | Every project teaches something new — embrace challenges and grow |
| User-Centric | Technology serves people — build solutions that solve real problems |
- ChatPlace — Finalizing Meta App Review process and preparing for production launch
- AI Automation Framework — Building reusable components for AI-powered business automation
- Personal Knowledge Base — Documenting engineering practices and architectural patterns
- Advanced System Design patterns
- Distributed systems fundamentals
- Cloud-native architecture
- AI Agent frameworks
- Production security best practices
- Performance optimization techniques
- Launch ChatPlace production version
- Build 3 additional AI-powered SaaS platforms
- Contribute to open-source Django/DRF projects
- Develop reusable backend architecture templates
- Establish professional personal brand in the backend engineering community
- Achieve cloud certification (AWS/GCP)
I'm actively looking to contribute to open-source projects related to:
- Django and Django REST Framework
- FastAPI applications
- AI/LLM integration tools
- Automation frameworks
- SaaS building blocks
Open to collaboration on interesting projects that align with my expertise.
- Python Backend Engineering
- Cloud Architecture (AWS/GCP)
- AI/ML Engineering
graph LR
A[Plan & Design] --> B[Develop]
B --> C[Test]
C --> D[Review]
D --> E[Deploy]
E --> F[Monitor]
F --> A
My workflow emphasizes:
- Thoughtful planning and architecture design
- Clean, testable code with comprehensive coverage
- Regular code reviews and pair programming
- Automated CI/CD pipelines
- Production monitoring and quick iteration
| Category | Top Picks |
|---|---|
| Backend | Python, Django, DRF, FastAPI |
| AI/ML | OpenAI, LangChain, RAG |
| Database | PostgreSQL |
| Infrastructure | Docker, Nginx |
| Security | JWT, OAuth2, Webhook validation |
| Frontend | React, Tailwind CSS |
I build software with a product mindset — thinking beyond code to deliver real value to users and businesses.
- User Experience — APIs that are intuitive and well-documented
- Business Value — Solutions that solve real problems and drive growth
- Sustainability — Architecture that can evolve with changing requirements
- Speed to Market — Fast delivery without compromising quality
I'm open to:
- Backend Engineering Roles — Building scalable systems and REST APIs
- AI Integration Projects — Connecting AI with business workflows
- SaaS Development — Architecting and building new platforms
- Technical Consulting — Advising on backend architecture and best practices
- Open Source Contributions — Collaborative projects in my domain
- Mentorship — Guiding developers in backend engineering and AI
- I approach every problem with an optimist's mindset and a problem-solver's determination
- Pressure is fuel — I thrive in challenging situations
- I break problems, pressure does not break me
- I believe in continuous improvement — code, ship, improve, repeat
- Passionate about building systems that make a difference
"Build clean. Ship fast. Improve continuously. Create systems that make a difference."