Open to opportunities

Abdul Mateen Chughtai

@abdulmateenchughtai

Message

I build mobile apps and Android SDKs used by millions.

Pakistan

Message

What I'm looking for

I'm looking to lead and build high-impact mobile, SDK, and AI-driven platform products, staying hands-on with Kotlin and Python while growing engineers and improving reliable production systems.

I've shipped mobile products and platforms used by millions at MonetizeMore and Tintash, including work for SWVL, 9GAG, SadaPay, and PissedConsumer. I currently lead a five-engineer team building an AI-driven ad fraud detection platform processing 10M+ requests daily.

As MonetizeMore's foundational Android SDK engineer, I built a Kotlin SDK for in-app monetization and fraud detection, distributed through Maven and GitHub Packages. I improved SDK performance by roughly 15%, raised test coverage above 80%, and built device-signal, consent-management, analytics, CI/CD, and monitoring capabilities.

I've also delivered Android, iOS, and React Native apps, from SWVL payment integrations to Bluetooth grill and crypto wallet products. I stay hands-on with Kotlin and Python while supporting engineers through 1:1s, growth plans, architecture standards, and training.

Experience

Work history, roles, and key accomplishments

Current

Engineering Manager, Mobile & Ad Fraud Prevention

Current

MonetizeMore

Sep 2024 - Present (1 year 11 months)

Lead a cross-functional team of 5 engineers building and scaling an AI-driven ad fraud detection platform processing 10M+ requests per day. Shipped new detection features that cut invalid traffic (IVT) rates by up to 50% for client publishers, including 9GAG and PissedConsumer.

Kotlin Python AI Fraud Detection Airflow AWS Sentry Cloudwatch Fastlane CI CD Team Leadership Agile Jira

Education

Degrees, certifications, and relevant coursework

National University of Computer and Emerging Sciences (FAST-NUCES)

Bachelor of Science, Computer Science

2015 - 2019

Grade: 3.51

Activities and societies: Silver Medalist; 4x Dean's List of Honour

BS in Computer Science with a GPA of 3.51, Silver Medalist, and 4x Dean's List of Honour. Electives included Mobile Development, Computer Vision, and Machine Learning.