Abdul Mateen Chughtai, Developer in Islamabad, Islamabad Capital Territory, Pakistan
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Abdul Mateen Chughtai

Mobile Engineer and Developer

Islamabad, Islamabad Capital Territory, Pakistan

Toptal member since August 31, 2026

Bio

Abdul is a mobile engineer with seven years of experience building native Android apps and SDKs used daily by millions of people. From payment integrations for a 10+ million download ride-hailing app to a fraud detection platform handling 10+ million daily requests, Abdul has both depth and breadth of hands-on experience in building large-scale solutions. He is meticulous about clean architecture, great UX, and shipping software that holds up in production.

Portfolio

MonetizeMore
Android, CI/CD Pipelines, Machine Learning, Microservices, Databricks...
MonetizeMore
Android, Kotlin, Espresso, Robolectric, Dependency Injection, SDK Development...
Tintash
Android, React Native, iOS, Firebase, Stripe, Google Maps...

Experience

  • Mobile - 7 years
  • Android - 7 years
  • Software Development - 7 years
  • Kotlin - 7 years
  • Advertising Technology (Adtech) - 4 years
  • JavaScript - 4 years
  • React Native - 3 years
  • Python - 3 years

Preferred Environment

Android, Kotlin, Dependency Injection, Google Maps, Stripe, Firebase, Payments, Advertising Technology (Adtech), Fraud Detection, JavaScript

The most amazing...

...work I've shipped is integrating Paymob and M-PESA for a unicorn ride-hailing app, unlocking payments for millions of users across South America and Africa.

Work Experience

Engineering Manager, Mobile and Ad Fraud Detection

2024 - PRESENT
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  • Spearheaded a cross-functional team of five engineers to build and scale an ad fraud detection system handling over 10+ million daily requests.
  • Drove the development of new features in the ad fraud detection pipeline to decrease invalid traffic rates by up to 50% for clients.
  • Collaborated with data science and machine learning teams to productionize ML models, enhancing mobile invalid traffic detection and reducing invalid traffic from mobile sources by up to 20%.
  • Drove architectural decisions for scalable microservices handling API authentication, real-time analytics, and business logic.
  • Researched algorithms to understand publisher-side mobile app invalid traffic patterns.
  • Championed the adoption of project documentation to ensure solutions were well-laid out and minimized back and forth between product and tech.
  • Acted as the engineering point of contact for key go-to-market initiatives, aligning engineering timelines with product and business goals.
  • Conducted regular one-on-ones, performance reviews, and growth plans aligned with organizational goals and individual career aspirations.
  • Established Android development best practices, including CI/CD pipelines, SDK modularization, and code style.
  • Participated in agile execution rituals, improving sprint velocity and delivery predictability by 50%.
Technologies: Android, CI/CD Pipelines, Machine Learning, Microservices, Databricks, Amazon Web Services (AWS), JavaScript, React, Python, Model Context Protocol (MCP), Fraud Detection, Mobile, Artificial Intelligence (AI), PostgreSQL, Full-stack, API Integration, In-app Purchase (IAP), In-app Purchases, App Store Acceptance Process, Analytics, Subscription Management, User Experience (UX), Integration, Subscriptions, Push Notifications, Performance, Scalability, Security, User Authentication, Large-scale Projects, Jetpack Compose, APIs, Git, Mobile App Development, RESTFul APIs, Mobile Development, Android Development, Media, AI Agents, Back-end, Distributed Systems, REST APIs, Technical Leadership, Multi-tenant SaaS, ClickHouse, Large Language Models (LLMs), Node.js, Prompt Engineering, Go, Claude, Consulting, Claude Code, Training, Vibe Coding

Mobile Team Lead

2022 - 2024
MonetizeMore
  • Served as a foundational engineer building a high-performance in-house Android SDK focused on in-app ad monetization and ad fraud detection.
  • Engineered a dynamic ad-serving SDK optimizing ad delivery based on user behavior, device parameters, and real-time user interaction.
  • Built a lightweight coroutine-driven analytics library using Kotlin Flow, enabling real-time event tracking.
  • Designed an automated app data collection system capturing over 50 unique device-level signals supporting ad fraud detection and behavioral analytics.
  • Developed a built-in GDPR-compliant consent management module, reducing external dependency and improving compliance coverage.
  • Enhanced SDK performance by approximately 15% through memory profiling and optimizations in dependency injection, network calls, and UI rendering logic.
  • Increased test coverage to over 80% by writing and maintaining end-to-end tests using Espresso and unit tests with Robolectric.
  • Organized and led internal training sessions, ensuring cross-team alignment on mobile development goals and OKRs.
Technologies: Android, Kotlin, Espresso, Robolectric, Dependency Injection, SDK Development, Mobile, API Integration, In-app Purchase (IAP), App Store Acceptance Process, Analytics, Subscription Management, User Experience (UX), Integration, React Native, Subscriptions, Push Notifications, Scalability, User Authentication, Large-scale Projects, APIs, Git, Mobile App Development, RESTFul APIs, Socket.IO, Mobile Development, Real-time Communication (RTC), WebSockets, Android Development, Android TV, ExoPlayer, Media, Streaming, REST APIs, Consulting, Training

Mobile App Developer

2019 - 2022
Tintash
  • Worked with a unicorn company integrating regional in-app payment solutions M-PESA and Paymob for expansion in Africa and South America.
  • Developed from scratch an Android companion app for a smart BBQ grill.
  • Trained junior Android developers on industry best practices.
  • Developed a crypto wallet app for a major crypto market player using React Native.
  • Maintained the iOS real estate app of a US-based company.
  • Developed features for an iOS crime reporting app for a US company.
  • Maintained Android app for a US-based real estate company, integrating Stripe for in-app purchases and advanced Google Maps functionality to draw custom geo-fenced areas.
  • Architected features for an Android crime reporting app.
  • Integrated Firebase and Segment Analytics to track issues and user retention.
  • Set up AppsFlyer and Firebase Dynamic Links to create short links for marketing and conversion campaigns.
Technologies: Android, React Native, iOS, Firebase, Stripe, Google Maps, Bluetooth Low Energy (BLE), Kotlin, Java, JavaScript, TypeScript, Swift, Mobile, Payments, API Integration, App Store Acceptance Process, Analytics, User Experience (UX), APIs, Git, Mobile App Development, RESTFul APIs, Socket.IO, Mobile Development, Android Development, ExoPlayer, REST APIs

Experience

In-house Android Ad Monetization and Fraud Detection SDK

I served as the foundational engineer for a production Android SDK that powers in-app ad monetization and real-time fraud detection. I built from an empty repository to a fully modularized, versioned library distributed via Maven and GitHub Packages. I architected a dynamic ad-serving engine that optimizes delivery based on user behavior, device parameters, and real-time interaction signals, using Google Ad Manager and AdMob as the core platforms. I designed an automated data collection system capturing 80+ unique device-level signals to power fraud detection and behavioral analytics. I built a lightweight, coroutine-driven analytics library on Kotlin Flow for real-time event tracking with minimal performance footprint. I developed a built-in GDPR-compliant consent management module, removing an external third-party dependency and improving compliance coverage. I also improved SDK performance by approximately 15% through memory profiling and optimization of dependency injection, network calls, and UI rendering paths. I increased the test coverage above 80% with Robolectric unit tests and Espresso end-to-end suites, and automated releases through Jenkins and Fastlane.

Education

2015 - 2019

Bachelor's Degree in Computer Science

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

Skills

Libraries/APIs

Kotlin Flows, Socket.IO, REST APIs, Stripe, Google Maps, React, Node.js

Tools

Git, ExoPlayer, Claude, Claude Code, Apache Maven

Languages

Kotlin, TypeScript, JavaScript, Python, Java, Swift, C++, Go

Frameworks

React Native, Espresso, Robolectric

Paradigms

Dependency Injection, Mobile Development, Microservices, UI Design, Model Context Protocol (MCP)

Platforms

Android, Firebase, Mobile, iOS, Android TV, Databricks, Amazon Web Services (AWS)

Storage

Databases, PostgreSQL, ClickHouse

Other

Advertising Technology (Adtech), Fraud Detection, Software Development, Web Development, Artificial Intelligence (AI), API Integration, In-app Purchase (IAP), In-app Purchases, App Store Acceptance Process, Analytics, Subscription Management, User Experience (UX), Integration, Subscriptions, Push Notifications, Large-scale Projects, Jetpack Compose, APIs, Mobile App Development, RESTFul APIs, Android Development, AI Agents, Distributed Systems, Technical Leadership, Large Language Models (LLMs), Prompt Engineering, Consulting, Training, Vibe Coding, CI/CD Pipelines, Machine Learning, Payments, SDK Development, Full-stack, Performance, Scalability, Security, User Authentication, Real-time Communication (RTC), WebSockets, Media, Streaming, Back-end, Multi-tenant SaaS, Augmented Reality (AR), Computer Vision, Bluetooth Low Energy (BLE)

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