Directed the architecture and backend development of an AI-powered sales automation platform. Built the system entirely from scratch — from data models to deployment pipelines — ensuring reliability, scalability, and seamless integration between AI workflows and business logic. Partnered closely with product and AI teams to deliver a production-grade platform aligned with real business outcomes. Key Achievements:Developed robust RESTful APIs powering AI dialogue processing, product discovery, and customer engagement flows. Integrated LangChain to enhance natural language understanding and link AI reasoning with live business data. Built an asynchronous, high-performance backend using FastAPI and Redis, capable of handling large-scale concurrent traffic. Designed and optimized MongoDB data structures for managing session context, analytics, and catalog information. Containerized the application stack and automated deployment workflows via Docker and GitLab CI/CD. Defined backend engineering standards, conducted code reviews, and guided developers through complex technical decisions. Implemented advanced observability tools for logging, tracing, and performance monitoring to maintain system stability under load.

Led the development of the entire server-side architecture of the platform from scratch. Ensured stability, scalability, and smooth integration with external services. Worked closely with the product team to ensure that technology decisions aligned with business goals and launched within tight deadlines. Key Achievements: Designed and implemented REST APIs for marketplace core modules: catalog, cart, orders, and payments. Implemented Celery + Redis to process asynchronous tasks for better reliability and performance. Containerized the application with Docker and configured CI/CD pipelines with GitLab. Mentoring team members, leading code reviews, and setting backend best practices. Optimized API response times and database queries to increase overall efficiency.

Developed a platform for securely storing and sharing confidential business information. My tasks included setting up user authentication service and storing confidential documents. Other services have also been improved with new technologies and code review.

Development of a CRM system for Kazakh Venture Foundation (NDA). My responsibilities include communication with client, API development, evaluating new technology to improve services for the business needs, and code review. Technologies: Python, Django, DRF, React, Docker, Microservices, Jenkins, unit tests, Celery, Redis, Gitlab CI

Build a data scraping platform that parses data from large marketplaces and aggregates all information into a structured database. Wrote effective parsing algorithms. Optimized database queries and separated monolith structure into microservices. Integrated many different APIs to the system. Tech stack: Python, Flask, Scrapy, MongoDB, SQLAlchemy, Docker, Rancher, ElasticSearch. Responsibilities: API development and support.

-Taught programming on Python. I trained 20 of the best students who were able to be employed in good local companies and are successfully freelancing. My training program included Python, Data Structures, SQL, PostgreSQL, Django, DRF, Docker, unit tests, Redis, Celery, Linux, AWS, Celery, Redis, CI/CD

Developed a backend part of a CRM system for the Brazil Mining company (NDA). I was engaged in writing tests, implementing new features for business needs such as real-time chat, document flow among departments, integration of third-party APIs. Supported service which was used by thousands of employees in the company. Tech stack: Python, Django, DRF, PostgreSQL, AsyncIO, Docker. Responsibilities: API development and support.

Worked on the internal project that collects and summarizes information about the work activity of employees in the company. Technologies: Python, DRF, Docker, Redis, Celery, PostgreSQL, AWS