About:
Sardor Navruzov is a senior software engineer with over 10 years of experience in backend engineering and system architecture, with a strong focus on integrating AI/ML technologies into enterprise-grade solutions. His expertise includes AWS cloud services, OpenAI and Anthropic models, and custom RAG systems built with LangChain and vector databases such as FAISS and ChromaDB.
Throughout his career, Sardor has designed and deployed AI-powered platforms for content aggregation, speech analytics, and real-time data processing, building systems capable of supporting thousands of concurrent connections. He’s equally skilled in developing ETL pipelines with Airflow and Apache Beam, implementing microservices, and optimizing high-volume data workflows using RabbitMQ and Kafka.
As a technical leader, Sardor has managed cross-functional teams of up to 10 developers, guiding delivery through CI/CD pipelines, containerization, and infrastructure automation with Docker, GitHub Actions, and GitLab. He’s known for bridging traditional software engineering with modern AI-driven capabilities, ensuring that the systems he architects are both scalable and practical for business operations.
Tech expertise:
- AI/ML integration into enterprise systems (OpenAI, Anthropic, RAG, LangChain)
- Backend and real-time systems architecture
- AWS cloud services (ECS, Lambda, RDS, Bedrock, Comprehend)
- ETL pipelines and streaming (Airflow, Apache Beam, Kafka, RabbitMQ)
- Team leadership and cross-functional collaboration
- CI/CD automation, containerization, and infrastructure scaling
- Enterprise-grade AI-powered platforms (content aggregation, speech analytics)
- System optimization and performance engineering for high-volume data and real-time platforms