Narendra Reddy Mudiyala

For over a decade, I've engineered the real-time data systems that quietly sit behind the scenes at major banks, media giants, and healthcare platforms the infrastructure most people never think about, but that has to be right every single time. My work takes a financial transaction, a viewer's click, or a patient's record and turns it into an instant, correct decision, often in milliseconds, at a massive scale.

What I've built:

• Real-time fraud detection engines that flag and block suspicious transactions before they ever clear—cutting fraud losses by up to 80% and lifting detection accuracy from 75% to 95%
• Machine learning models that spot patterns humans would never catch—identity theft, account takeovers, and sophisticated fraud rings—using AI that keeps learning and adapting over time
• Real-time streaming platforms that give media companies live visibility into audience engagement, content performance, and advertising effectiveness
• Large-scale data infrastructure across healthcare, insurance, and financial services processing millions of records every single day, with near-zero downtime
• All of it powered by AWS, Databricks, Snowflake, Apache Kafka, and cloud-native architecture built for scale

What I bring to your show:

• Real, frontline stories on how AI is actually fighting fraud right now—not theory, not hype, but systems running in production today
• The case for why "boring" backend engineering is quietly where AI is having its biggest, most consequential real-world impact
• Candid insight into what breaks—and what it takes to fix—when data systems have to be correct the first time, with zero room for error
• A grounded, technical read on where fintech, big data, and applied AI are genuinely headed next, past the buzzwords
• Complex, high-stakes engineering explained in plain language—real numbers, real examples, and real stories your audience can actually use and remember

Credentials backing it up: Master's in Computer & Information Sciences, plus AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, and SnowPro Core Certified Data Engineer certifications.