Summary
Kamal Chaya is a senior software engineer with 13 years of experience building high-throughput backend systems for companies like Bloomberg, Snap, Uber, Tinder, Amazon and Microsoft. He specializes in data-intensive pipelines and performance engineering, having designed production Beam/Dataflow pipelines that process hundreds of millions of users and real-time services that reduced latency to under five minutes. Kamal has driven cost and scalability improvements—migrating storage layers, cutting DB costs by ~60%, and replacing single points of failure in CI infrastructure—while collaborating closely with ML and frontend teams to operationalize models and streaming logs. Now focused on AI research enrichment infrastructure at Bloomberg, he blends pragmatic engineering with systems-level observability and metrics ownership. Based in the New York City area, he pairs solid Java and cloud-native expertise with a knack for translating research models into reliable production services. An under-the-radar strength is his consistent track record of reducing operational cost and latency across diverse platforms and scale.
13 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at University of Illinois Urbana-Champaign
English, Telugu