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Hello, I’m Alisher Zhanayev—a senior Python developer focused on backend systems and AI-powered services. Over the past 5+ years I’ve built and operated high-load distributed systems in production, with a strong emphasis on reliability, correctness, and maintainability. My work includes designing LLM-based pipelines, retrieval-augmented generation, and observability layers to support debugging and iterative improvements. I enjoy building robust systems end-to-end—from preprocessing and retrieval to generation, verification, and monitoring. I value thoughtful architecture, test coverage, and proactive alerting to keep releases safe and scalable while empowering business teams with reliable tools.…Hello, I’m Alisher Zhanayev—a senior Python developer focused on backend systems and AI-powered services. Over the past 5+ years I’ve built and operated high-load distributed systems in production, with a strong emphasis on reliability, correctness, and maintainability. My work includes designing LLM-based pipelines, retrieval-augmented generation, and observability layers to support debugging and iterative improvements. I enjoy building robust systems end-to-end—from preprocessing and retrieval to generation, verification, and monitoring. I value thoughtful architecture, test coverage, and proactive alerting to keep releases safe and scalable while empowering business teams with reliable tools.

Alisher Zhanayev

Web Developer, Programmer, Back-End Developer, +2

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Hello, I’m Alisher Zhanayev—a senior Python developer focused on backend systems and AI-powered services. Over the past 5+ years I’ve built and operated high-load distributed systems in production, with a strong emphasis on reliability, correctness, and maintainability. My work includes designing LLM-based pipelines, retrieval-augmented generation, and observability layers to support debugging and iterative improvements. I enjoy building robust systems end-to-end—from preprocessing and retrieval to generation, verification, and monitoring. I value thoughtful architecture, test coverage, and proactive alerting to keep releases safe and scalable while empowering business teams with reliable tools.…Hello, I’m Alisher Zhanayev—a senior Python developer focused on backend systems and AI-powered services. Over the past 5+ years I’ve built and operated high-load distributed systems in production, with a strong emphasis on reliability, correctness, and maintainability. My work includes designing LLM-based pipelines, retrieval-augmented generation, and observability layers to support debugging and iterative improvements. I enjoy building robust systems end-to-end—from preprocessing and retrieval to generation, verification, and monitoring. I value thoughtful architecture, test coverage, and proactive alerting to keep releases safe and scalable while empowering business teams with reliable tools.

Available to hire

Hello, I’m Alisher Zhanayev—a senior Python developer focused on backend systems and AI-powered services. Over the past 5+ years I’ve built and operated high-load distributed systems in production, with a strong emphasis on reliability, correctness, and maintainability. My work includes designing LLM-based pipelines, retrieval-augmented generation, and observability layers to support debugging and iterative improvements.

I enjoy building robust systems end-to-end—from preprocessing and retrieval to generation, verification, and monitoring. I value thoughtful architecture, test coverage, and proactive alerting to keep releases safe and scalable while empowering business teams with reliable tools.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Python Developer (Backend) at YAYA

May 1, 2024 - Present

Senior Python Developer focusing on backend reliability, scalability, and data consistency. Designed and implemented a production-ready LLM-powered assistant, built an end-to-end LLM pipeline with Retrieval-Augmented Generation (RAG), introduced a secondary verification layer to ensure output correctness, and established full lifecycle observability for debugging and quality analysis. Implemented Elasticsearch-based search, Grafana-based monitoring/alerting, and data validation/transaction monitoring to reduce regressions and fraud.

Senior Python Developer at ChocoDelivery

April 1, 2022 - May 1, 2024

Improved ETA prediction accuracy from 84% to 91% by optimizing routing algorithms and backend logic. Decomposed a large monolithic system into 8 Go-based microservices, improved scalability and reduced resource usage. Increased automated test coverage from 90% to 95%, reduced production failures and regressions. Optimized payment workflows, reducing failed transactions from 6% to 4% and integrated multiple payment service providers to improve reliability.

Python Developer at ChocoFood

June 1, 2020 - April 1, 2022

Reduced order delivery time by optimizing route planning logic and backend processing pipelines. Integrated third-party services to extend platform capabilities and improve user experience. Automated internal workflows to reduce order acceptance time and operational overhead. Optimized database queries and processing logic, reducing report generation time from 1 hour to 15 minutes.

Senior Python Developer at YAYA

May 1, 2024 - Present

Designed and maintained backend services for a production platform, focusing on reliability, scalability, and data consistency. Implemented testing strategy raising test coverage from 0% to 80% in 6 months, reducing production regressions. Built Elasticsearch-based search to improve data retrieval performance. Implemented Grafana-based monitoring and alerting for proactive incident detection. Improved data validation and transaction monitoring, reducing fraud-related incidents by 5%. Designed and implemented a production-ready LLM-powered assistant for internal workflows, including an end-to-end LLM pipeline with preprocessing, RAG using a vector database, and post-processing. Added a secondary LLM verification layer to assess correctness and relevance before returning results. Implemented LLM observability and evaluation by logging full request lifecycles for debugging and iterative improvements.