Marat Khagazheev
Software Engineer with 3+ years of expertise in developing and supporting web-applications.
Background in technical teaching and mentoring, helping teams level up development skills and adopt best practices.
OSS contributor: contributing to projects like
CPython,
django-modern-rest,
wemake-python-styleguide
and more.
Experience
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Lead backend developer february 2024 - present
Outcome: 3 products and 1 award
Education
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Computer Sofware Engineering (BASc) september 2023 – present
Kuban State Technological University (KubSTU)
Certifications
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Web Development with Django february 2023 – april 2023
Yandex Academy Moscow, Russia
-
Fundamentals of Software Engineering september 2022 – april 2023
Yandex Lyceum Nalchik, Russia
-
Python Basics september 2022 – april 2023
Yandex Lyceum Nalchik, Russia
Skills
- Languages: Python, JavaScript, C
- Frameworks: Django Rest Framework, FastAPI, django-ninja
- DevOps: CI/CD, Docker
- Relational databases: PostgreSQL, MySQL
- NoSQL databases: Redis, MongoDB, ClickHouse
- Web servers: NGINX, Apache
- Message brokers: RabbitMQ, Apache Kafka
Projects
Online magazine about design with 10,000+ active subscribers.
Led backend development for a news aggregation & publishing service.
Implemented the core functionality of the service using Django,
fully architected the continuous integration and delivery pipeline for the service and
created a system for automatic deployment of dedicated development servers for each feature branch.
october 2025 — present
Perfect presentation builder using generative design with 100,000+ active users.
Led backend development for the project, overseeing system architecture, task planning, release management, and code review.
Architected and implemented major client-facing features, including AI-powered presentation generation,
interactive stickers, presentation export module, and a comprehensive statistics dashboard.
Developed a custom Open Service Broker to enable seamless integration with the VK Marketplace.
Built internal analytical tools and dashboards to track key business metrics.
Achieved an 80% reduction in latency on critical endpoints by optimizing database queries and
the django-polymorphic library for handling polymorphic tables relations.
Reduced operational costs by 70% by implementing a cache for media search queries in the AI generation pipeline.
june 2024 — present
The pioneering AI identity generator for small businesses, scaling the product to over thousands of unique design projects.
Supported and iterated on internal dashboards and reporting tools to provide actionable business insights.
Implemented various features, including a dedicated portfolio page for users and updates to the pricing plans/subscription tiers.
Actively participated in the maintenance cycle by identifying and resolving bugs, improving overall platform stability.
february — june 2024