I’m Waheed Ur Rahman. I lead Android engineering and build production mobile apps, AI agents, developer tools, automation infrastructure, and internal platforms that make complex operations feel simple.
Proof, not promises
I work across product, architecture, integrations, and delivery. These systems began as expensive operational problems and became working infrastructure.
Revenue, ad spend, crashes, analytics, notifications, and AI answers are unified into one operating layer—built to scale as more products, accounts, and teams are added.
View flagship case studyAsk the release bot to upload a build. It creates the bundle, runs Jenkins, handles recoverable failures, and moves the release toward Google Play.
Claude and specialist review agents inspect every submission first, giving the team earlier feedback and cleaner work to review.
Updates are collected at day-end, organized in Google Sheets, and turned into a concise morning leadership brief.
A lightweight check-in turns “where did the day go?” into honest data about focus, interruption, and progress.
Tasks, journaling, and AI-assisted reflection in one private personal system designed around everyday life.
Three custom MCP servers—API Testing, ADB Manager, and Logcat Stream—give agents structured access to the Android toolchain instead of limiting them to conversation.
Flagship case study · CruiseTech Dashboard
CruiseTech turns scattered product dashboards into a central operating layer. Performance, revenue, spend, crashes, messaging, and AI-assisted answers sit in one place—designed to grow with the portfolio instead of being rebuilt for every new product.
Visit live dashboard (opens in a new tab)
Product health, performance, revenue, and risk in a single interface.
Ads, AdMob, Firebase, Crashlytics, analytics, and product signals.
Add products without rebuilding the operating layer.
Ask questions and notify users in their own languages.
Where I create leverage
I work where product thinking, engineering depth, and operational ownership need to meet—shaping the approach, building the critical system, and carrying it into production.
Replace repetitive coordination, reporting, review, and release work with dependable workflows that act across your existing tools.
Custom Model Context Protocol servers give AI controlled access to APIs, data, Android devices, logs, and internal actions so it can do useful work—not just generate text.
Turn fragmented business and product data into a secure command center where teams can understand performance, decide, and act.
Native Android applications, Kotlin, Jetpack Compose, Firebase, CI/CD, performance, AI features, team delivery, and production ownership from a hands-on lead.
Selected collaboration models
I’m available for consulting engagements, contract builds, and embedded partnerships—wherever there is meaningful complexity to remove, a system worth building, and a team committed to putting it into real use.
Ownership from discovery and architecture through implementation, deployment, and a clean operational handover.
Technical direction for teams deciding where AI creates genuine leverage—and how to integrate it without fragile complexity.
Hands-on collaboration with product and engineering teams on high-value systems that require sustained technical ownership.
The person behind the systems
I lead a small Android development team and stay close to the code, the releases, and the operational problems. That combination gives me the perspective to connect business needs with systems that survive real production pressure.
I do not add AI for appearance. I identify where intelligence and automation create leverage, then design the workflow, integrations, safeguards, and feedback loops required to make it genuinely useful.
Team leadership, portfolio systems, AI agents, release infrastructure, and operational visibility.
APIs, performance, architecture, debugging, and the discipline of shipping products people depend on.
Building and maintaining Android applications through the realities of real users and real constraints.
A path that grew into Kotlin, Jetpack Compose, Firebase, VoIP, utility products, AI systems, and leadership.
Selective collaboration
Looking to hire an AI systems consultant or a hands-on Android engineering lead? If your team is facing an operational bottleneck, an ambitious product challenge, or an AI initiative that needs real engineering behind it, share the context. The first conversation is about the problem—not a sales pitch.
Built from Lahore. Designed for global teams.AI systems · product automation · engineering infrastructure
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