Teams at Mrsool

Lead backend engineering efforts building highly concurrent, low-latency systems using Ruby on Rails and Go. Own architecture, performance tuning (PostgreSQL, Redis), APIs (REST/gRPC), observability and CI/CD. Mentor engineers, drive design docs/RFCs, resolve system bottlenecks, and balance short-term delivery with long-term architectural stability.

Build, deploy, and maintain ML and optimization models for a quick-commerce marketplace (matching, pricing, recommendations, ETA). Design experiments and causal analyses, engineer features from messy geospatial and conversational data, own production ML pipelines, monitor model health, and collaborate cross-functionally to deliver reliable, incremental improvements.

Build and maintain scalable batch and real-time data pipelines using Kafka, Maxwell, Spark and dbt; design medallion-based data models; implement cloud-native data platforms (S3, Trino, BigQuery); optimize performance, ensure data quality, observability, and SLA adherence; enable analytics through trusted datasets and Metabase dashboards.