Summary
Ashish Shah is a software engineer with 10 years of experience building large-scale backend and infrastructure systems across cloud, ads/risk, and data-intensive domains. He currently leads Finance & Reporting engineering at DoorDash after architecting video AI infrastructure at Google and fraud-detection platforms at Uber, bringing deep expertise in distributed systems, ML infrastructure, and high-throughput data pipelines. His toolset spans Java, Go, Python and platforms like Kafka, Flink, Spark, Cassandra and Redis, enabling reliable, low-latency services at scale. A UCLA computer science master’s graduate, he pairs strong academic grounding with pragmatic production experience from Microsoft, SAP, and Cisco internships to full-time roles. Based in Mountain View, he combines platform-level thinking with hands-on engineering and a steady focus on operability and observability. Peers describe him as an engineer who bridges data science enthusiasm with robust system design to turn complex workflows into maintainable, auditable services.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science Engineering, Bachelor of Technology (BTech) Computer Science Engineering at Manipal Institute of Technology
University of California, Los Angeles