Ritesh Muralidhar

About Ritesh Muralidhar

I’m a Backend & Distributed Systems Engineer who enjoys building resilient, low-latency…

Experience

1. Software Engineer

   Meta

   Feb 2025 — Present · Menlo Park, CA, US

   Data/ML Infrastructure - Ads Delivery Architected and operated high-scale microservices processing 1.5 B+ daily events using Apache Spark, Kafka, and Spring Boot, achieving a 25% latency reduction in ranking pipelines. Led incident reviews and on-call operations, identifying systemic bottlenecks and deploying automated alerting, reducing delivery gaps from 14% to 3% and improving overall pipeline reliability. Introduced granular caching keys and multi-tier caching strategies, driving a 150% cache-hit uplift and lowering query throughput cost across microservices. Designed and scaled GraphQL and RESTful APIs serving 10K+ RPS across ranking, feature-extraction, and model-training microservices, improving cross-service throughput 35% and reducing P95 tail latency 20% under production load. Implemented and tuned adaptive CDN-aware edge caching and delivery mechanisms, cutting inter-region tail latency ~40% and ensuring global SLA compliance for ranking responses. Collaborated with ML and product teams to translate ranking logic into scalable data models, improving offline-to-online consistency 35% and accelerating feature experimentation velocity. Directed large-scale A/B experimentation and signal validation pipelines, driving a 20% uplift in mapping coverage and a 35% boost in retrieval precision through systematic feature tuning and iterative model improvements.