The Code Review Crisis: Can Humans Keep Up with AI-Generated Code?
AI generates thousands of lines of code per day. Traditional code review can't keep up. What do we do now?
Read article →15+ years crafting world-class mobile experiences with 100M+ downloads. Building the future at the intersection of Software and AI.
Building multi-agent systems with LangGraph and integrating LLMs into production apps. Currently working with Claude API, OpenAI, and Whisper for real-time AI features.
See AI Projects →Apps I've built or contributed to have been downloaded over 100 million times, including Audible, Vocera, and various consumer apps across healthcare and media.
View My Work →Published author with O'Reilly and Packt covering Kotlin design patterns, Android performance optimization, and applied Kotlin development.
See Publications →I'm a Senior Staff Engineer with over a decade of experience building mobile applications that millions of people use every day.
My journey spans from startups to enterprise giants like Amazon (Audible) and Stryker, where I've led cross-functional teams and delivered products used by healthcare practitioners across the globe.
With a Master's in Computer Engineering specializing in machine learning, I bridge the gap between traditional mobile development and cutting-edge AI. Currently, I'm building multi-tiered agentic systems using LangGraph and exploring the frontiers of AI-powered applications.
As a published author with O'Reilly and Packt, I'm passionate about sharing knowledge and elevating the craft of Android development.
Built apps serving 45,000+ healthcare practitioners globally
Reduced memory usage by 60%, boosted stability by 20%
Building agentic systems with LangGraph & Claude API
data class Engineer(
val name: String = "Yusuf Saber",
val experience: Int = 15,
val passion: List<String> = listOf(
"Android",
"AI/ML",
"Clean Architecture"
),
val isAvailable: Boolean = true
) {
fun buildAmazingApps() =
"Let's create something great!"
}
Audible
Stryker
Vocera
Kellogg's
Atimi
Brock Solutions
Dokainish
Shyft
Audible
Stryker
Vocera
Kellogg's
Atimi
Brock Solutions
Dokainish
Shyft
Built a multi-tiered AI agent system using LangGraph that automates complex consulting report generation. The orchestrated system coordinates data gathering, analysis, and synthesis agents to produce comprehensive reports.
Led development of flagship healthcare communication app used by practitioners worldwide. Modernized the codebase with Kotlin and Jetpack Compose while dramatically improving performance and stability.
Building a cross-platform translated chat app from the ground up. Features real-time speech-to-text with OpenAI Whisper and text-to-speech via Azure, enabling seamless multilingual communication.
Contributed to the launch of Audible's Channels feature at Amazon, building seamless offline audio streaming capabilities with robust testing coverage across the Android platform.
18th IEEE Conference on Image Processing
24th Canadian Conference on Electrical and Computer Engineering
IEEE Symposium on IT in Medicine & Education
AI generates thousands of lines of code per day. Traditional code review can't keep up. What do we do now?
Read article →How I reduced a weeks-long report generation process to just one hour.
Read article →Lessons learned shipping a real iOS and Android app with a shared Kotlin codebase.
Read article →Computer Engineering
Ryerson University, Toronto
Computer Engineering
Ryerson University, Toronto
Whether you're looking for a senior engineer to lead your mobile team, need consulting on AI integration, or want to collaborate on something new — I'd love to hear from you.