Summary
Kiran Prakash is a software engineer based in San Francisco with a decade of experience building high-throughput, low-latency search pipelines and distributed systems. He has a proven track record of leading 0→1 initiatives—most notably architecting a near-real-time search pipeline that cut query latency by 70% using Kafka and Elasticsearch. His hands-on expertise spans Java, Ruby, Scala, Redis, Elasticsearch, Kafka and cloud-native deployments, with deep experience improving search reliability and efficiency at scale across companies like Zendesk, AWS OpenSearch, and Uber. Kiran combines systems-level thinking with pragmatic engineering, migrating legacy workloads to modern orchestration platforms and optimizing metadata ingestion and modeling. He mentors engineers and consistently delivers measurable performance gains in production search infrastructure. Having advanced from internship work in web stacks to shaping search platforms at large cloud and consumer companies, he brings both breadth and production-hardened depth to search engineering challenges.
10 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at BVBCET Hubli
Master’s Degree Computer Science, Master’s Degree Computer Science at Northeastern University
English, Kannada, Hindi, Telugu