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Uranbek Anarbaev

@uranbekanarbaev

Message

I build high-load Python backend systems for payments, ad auctions, and recommendation services.

United Arab Emirates

Message

I've built and scaled high-load backend services at Programmatica, including video recommendations, real-time click prediction, DMP auction microservices handling up to 10,000 requests per second, and AI-powered creative moderation for 40,000+ creatives.

Previously at Siam Commercial Bank, I developed payment and PromptPay QR-acquiring microservices handling up to 1,500 RPS, reduced p95 latency from 180ms to 35ms, and introduced Kafka-based asynchronous transaction processing. I also build reliable APIs, optimize databases, and apply machine learning to recommendation, classification, and forecasting systems.

Experience

Work history, roles, and key accomplishments

Current

Python Backend Engineer

Current

Programmatica

Jan 2025 - Present (1 year 7 months)

Built and scaled a video recommendation service, lifting relevance by 300% and stability by 100%. Developed a real-time click prediction service and DMP auction microservices handling up to 10,000 requests per second.

Python fastAPI SQLAlchemy Redis Kafka Docker Kubernetes AWS Machine Learning PyTorch BERT Transformers AI Agents Prompt Engineering LightGBM A B Testing

Middle Python Backend Developer

Siam Commercial Bank

Mar 2022 - Dec 2024 (2 years 9 months)

Designed and built high-load payment microservices on FastAPI and SQLAlchemy, handling peak loads up to 1,500 RPS. Implemented caching, event-driven architecture, and reliability patterns to improve performance and stability.

Python fastAPI SQLAlchemy Redis PostgreSQL Kafka Docker Kubernetes AWS Pytest Grafana OpenTelemetry

Python Developer

Eweb KG

Feb 2020 - Mar 2022 (2 years 1 month)

Built a RESTful API for a government development bank site, improving availability and reducing latency. Introduced Celery/Redis task processing and optimized database queries to enhance performance.