Uranbek Anarbaev

Python Backend Engineer / AI Engineer

4+ years building high-load microservices and AI-driven systems with FastAPI and Django. Delivered measurable results in ad-tech: recommendation engines, ML auction models, GPT-based contextual targeting, and creative moderation/forecasting systems. Ship independent full-stack products end to end (React/Next.js, Python, Docker) with real users.

Experience

ProgrammaticaJan 2025 – May 2026
Python Backend Engineer / AI Engineer

Ad-tech company building programmatic advertising infrastructure at scale.

  • Built an AI-powered video recommendation system (image-level content analysis) — +300% recommendation relevance, +100% system stability.
  • Developed a GPT-based contextual targeting engine to classify websites by topic, category, and brand for precise, high-relevance ad placement.
  • Trained ML models for auction win prediction (+20% win rate) and DMP-driven behavioral recommendations (+50% CTR); implemented intelligent bidding logic to maximize advertiser ROI.
  • Built Dynamic Creatives, a real-time system for selecting and rendering ad materials based on viewing context.
  • Built AI-powered creative moderation using Yandex Vision AI and custom ML models, processing 40,000+ creatives across formats.
  • Built a creative performance forecasting system to predict and manage ad creative rotation from accumulated performance data.
  • Owned infrastructure work as needed: Nginx routing, internal LLM infrastructure via Ollama, GitHub Actions CI/CD pipelines.
  • Designed and optimized REST APIs over PostgreSQL, MongoDB, and Redis, with Pytest/Unittest coverage; deployed ELK Stack for centralized logging and monitoring. Applied Go and Rust where appropriate.

FastAPI · Django · PostgreSQL · MongoDB · Redis · Celery · Docker · Nginx · ELK Stack · Go · Rust · Yandex Vision AI · Ollama

Eweb KGMar 2022 – Dec 2024
Python Developer

Web and mobile app development studio for government and commercial organizations.

  • Built a RESTful API for a Government Development Bank site, handling up to 10,000 requests/day — +20% availability, -20% latency.
  • Introduced Celery/Redis background task processing for an e-commerce platform — -30% latency, +40% throughput.
  • Optimized database schema and SQL queries with SQLAlchemy — -60% response time, +25% overall system performance.
  • Set up ELK Stack monitoring and logging for major client sites, cutting mean time to recovery (MTTR) by 50%.
  • Developed automated bots for user interaction, increasing engagement by 30%.
  • Configured GitHub Actions CI/CD pipelines; wrote Pytest/Unittest suites; documented APIs in Confluence and Swagger; participated in code reviews.

Python 3 · FastAPI · Django · PostgreSQL · MongoDB · Redis · RabbitMQ · ELK Stack · Sentry · Swagger · Docker

Independent Projects

Education

Harbin Institute of Technology, Shenzhen (HITSZ)

B.Sc. Computer Science & Technology

China

Sep 2023 – Jun 2028

Technical School of Innovation, AUCA

Finance & High Technology

Bishkek, Kyrgyzstan

Sep 2020 – Jun 2023

Technical Skills

Languages & FrameworksPython 3, FastAPI, Django, Flask, DRF, SQLAlchemy, Asyncio, Go, Rust, TypeScript, React, Next.jsDatabasesPostgreSQL, MongoDB, Redis, Cassandra, RabbitMQAI / MLLLM API integration (OpenAI, OpenRouter), AI agents, recommendation systems, ML model training, Yandex Vision AI, GPT-based classification, OllamaDevOps & ToolingDocker, Nginx, Linux, Git, GitHub Actions, ELK Stack, Sentry, Grafana, Swagger, ConfluenceTestingPytest, Unittest, integration testing, CI/CD-integrated test suites

Languages

EnglishRussianKyrgyzMandarin Chinese

Recommendation

Vladimir Bashkin — Chief Visionary Officer, Programmatica

Direct manager · January 2025 – May 2026 · Moscow

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