Engineering Manager · Mobile & Ad Fraud Prevention
Abdul Mateen Chughtai
I lead the engineering behind systems that catch invalid traffic and ad fraud before it costs web and mobile publishers money - 10 million+ requests a day.
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I lead the engineering behind systems that catch invalid traffic and ad fraud before it costs web and mobile publishers money - 10 million+ requests a day.
I manage a cross-functional team of five engineers building and scaling an AI-driven ad fraud detection system for web and mobile publishers.
My work spans productionizing ML models for invalid-traffic detection, designing Airflow pipelines for policy compliance, and researching publisher-side mobile IVT patterns - while running the 1:1s, reviews, and growth plans that keep the team moving. I have actively shipped Android, iOS, and React Native products, and built an ad-monetization SDK from the ground up.
Native apps in Kotlin with Jetpack Compose - from architecture to Play Store release, with CI/CD pipelines and 80%+ test coverage as standard, not an afterthought.
React Native and Swift apps when one codebase (or an Apple-first audience) makes more sense. I've shipped crypto wallets, real-estate, and IoT companion apps this way.
Lightweight, well-documented Android SDKs and internal libraries - analytics, ad serving, device signals - built to be embedded in other people's apps without breaking them.
Regional payment integrations (M-PESA, Paymob, Stripe), ad monetization setup, and invalid-traffic audits informed by running fraud detection at 10M+ requests a day.
Have a project in mind? Get in touch - I take on select freelance and consulting work.
Leading a team responsible for scaling AI-driven ad fraud detection across 10M+ daily requests. Shipped pipeline features cutting client IVT rates by up to 50%, productionized ML models reducing mobile invalid traffic by up to 20%, and established mobile CI/CD and engineering practice across the org.
Foundational engineer for an in-house Android SDK for ad monetization and fraud detection: dynamic ad serving, a coroutine-driven analytics library on Kotlin Flow, a 50+ signal device-data collection system, and a GDPR-compliant consent module. Lifted performance ~15% and test coverage past 80%.
Integrated regional payments (M-PESA, Paymob) in SWVL Android app - a unicorn with 10M+ downloads - supporting expansion across Africa and South America. Built a Bluetooth smart-grill companion app from scratch, a React Native crypto wallet, and iOS features for US clients, while training junior Android developers.
Maintained a US real-estate Android app - Stripe in-app purchases and custom geo-fenced Google Maps areas - and built features for a crime-reporting app with Firebase and Segment analytics, plus AppsFlyer and Dynamic Links for marketing attribution.
Open to conversations about mobile development, ad fraud prevention, and engineering leadership. You can also find me on LinkedIn.