Hrushikesh Pokala
Sr Software Engineer Lead at Equifax
San Diego Country Estates, California, United States
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A Senior Lead with 11 years in the software trenches and a Master’s in Data Analytics, I build intelligent systems that move beyond the hype and into production. My expertise lies at the intersection of Deep Learning and Neural Networks, where I currently pioneer "Reinforcement Learning Brain" methodologies and MCP architectures to scale engineering expertise. When I’m not fine-tuning models, I’m either perfecting my backhand on the table tennis court or navigating the backroads of America—having driven my Tesla through nearly every state, I’m as comfortable optimizing cross-country charging routes as I am architecting complex datasets.
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public void saveMoney(AI): The Developer's Guide to Unit Economics
We usually treat cloud costs as an infrastructure problem - something to be solved with better budgets or Reserved Instances. But in a world of serverless and containers, your bill is a direct reflection of your code's efficiency. A memory leak isn't just a bug anymore; it’s a monthly recurring expense. A "chatty" frontend isn't just slow; it’s a self-inflicted DDoS attack on your own wallet.
This lightning talk shifts the FinOps conversation to where costs actually start: the IDE. We’ll trace a single request through a standard GCP stack—from an Angular frontend, through Java services on GKE, and down into Cloud Spanner.
Instead of high-level theory, we’ll look at the specific code-level anti-patterns that wreck unit economics. You’ll see how "polite" frontend code helps GKE bin-packing density, how Java serialization impacts Dataflow costs, and how specific query patterns can quietly destroy a budget. You'll leave with a developer-centric checklist to stop the bleeding in production.
WeAreDevelopers World Congress 2026 - North America Sessionize Event Upcoming
Hrushikesh Pokala
Sr Software Engineer Lead at Equifax
San Diego Country Estates, California, United States
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