Summary
Talha Ahmed is a software engineer with 10 years of experience specializing in back-end systems, optimization, and distributed architectures, currently building Food Ordering AI at Google. He has led query-to-query indexing and retrieval efforts that cut TPU usage by up to 10%, scaled promotion embedding indexing to impact millions of shopping queries, and built reusable embedding-data pipelines adopted by multiple clients. Previously he architected checkout and taxonomy services at Wish using Go, gRPC and Vitess, and delivered high-performance, low-latency systems at LinkedIn and other firms. Talha combines hands-on performance tuning (multiple 10–30x speedups in past roles) with data governance and compliance experience, a rare mix that ensures both efficient and auditable production services. Based in New York with roots in Canada and trained at the University of Waterloo, he pairs deep systems expertise with a curiosity for applied AI—summarized succinctly on GitHub as Food AI @google.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Waterloo
English, Urdu