Kairat Albakov

I am a software engineer focused on building scalable backend systems, real-time data pipelines, and resilient distributed services. I combine strong engineering fundamentals with practical experience in performance optimization and reliability engineering.

At Adriel I improved data freshness and reduced database load by implementing Redis Streams batch processing and designed an exponential backoff notification system that raised delivery success from 82% to 97%. I also introduced optimistic concurrency control and distributed cache invalidation to improve consistency and responsiveness.

At Glassdome I optimized time-series ingestion, lowered analytics latency by 63%, and increased throughput to 12,000 events per second. I implemented search improvements with Typesense, accelerated reporting through Postgres optimization, and integrated ClickHouse for efficient batch processing.

I hold a B.S. in Computer Science from KAIST with a double major in Business and Technology Management. I enjoy solving high-throughput, low-latency problems and delivering measurable business impact through thoughtful system design.