Saahil Khurana is a Staff Software Engineer based in the San Francisco Bay Area with 5 years of experience building high-throughput, low-latency stream-processing and distributed systems. He has designed and shipped cloud-native microservices and telemetry ingestion pipelines at scale using Kafka, Flink/Storm/Boson topologies, AWS managed services, and real-time stores like Druid/Pinot. Comfortable across Java, Scala, Python, JavaScript and C, he blends backend systems design, database modeling, and ML-infused ranking to deliver production-grade, performance-tuned solutions. Past roles at Rivian, Yahoo and Google show a track record of integrating vehicle and personalization data pipelines, and an early Google internship produced an ML model that saved hundreds of debugging hours—evidence of his practical ML and data engineering chops. He’s passionate about systems, networking and adaptable tooling, and enjoys mentoring teams while driving architectural best practices. An offbeat detail: his GitHub bio hints at a playful side—“My robot is @zeon-neon”—reflecting curiosity that often surfaces in his engineering work.
Contributions:1 PR, 1 push, 2 branches in 2 years 5 months
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