Position: Senior Software Engineer
Category: Lead
English level: fluent
Years of experience: 11


**Tech Lead at ML Infra Team**
Created an ML model deployment system that reduced rollout from weeks to hours. Created an easy to use Jupyter notebook infrastructure for data scientists, at a fraction of cost of cloud solutions. Assisted with technology selection, architecture and API design for other teams. Introduced RFC process to document engineering wide architectural changes. Built S3 usage monitoring system for AWS cost visibility and optimization. Managed product backlog, developed features and gathered user feedback for ML infrastructure. Participated in Scala and ML Chapters (Python, Spark, GRPC, PostgreSQL, MLFlow, AWS)

**Senior Data/ML Engineer**
Improved search classification pipeline for serving ads campaigns of 100+ clients, each running 7k predictions/sec. End-to-end latency dropped from hours to minutes, resulting in double-digit improvement of conversion and CPA. Optimized efficiency of batch jobs, planned and executed storage rearchitecture and migration, run failure analysis and remediation, mentored junior engineers (Scala, Spark, PostgreSQL, Clickhouse, HBase, REST, S3)