I build scalable Android systems, developer automation workflows, and AI-powered engineering tools.
I’m an Android Software Engineer at Paytm, where I work on large-scale Jetpack Compose based Android applications serving millions of users.
My core engineering focus is around building reliable, scalable, and maintainable mobile systems with Kotlin, Jetpack Compose, modern Android architecture, multi-module codebases, and performance-focused engineering practices.
Alongside Android engineering, I’m actively exploring and building around Agentic AI Development Tooling — especially skill-based workflows that help automate parts of the software development lifecycle using structured skills, repo-aware context, LLM grounding, critic/reviewer loops, and controlled execution boundaries.
I’m especially interested in how we can move from simple AI code generation toward reliable AI-assisted engineering systems.
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Working on high-scale Android applications for Payments Wallet and Recharge flows.
Key focus areas:
- Jetpack Compose based feature development
- Scalable Android architecture
- Multi-module codebase maintainability
- Single-activity migration and navigation simplification
- Gradle/build-system reliability improvements
- Performance, stability, and crash reduction
- Release reliability across multiple build variants
Building AI-powered developer workflows focused on improving day-to-day engineering productivity.
Focus areas:
- Skill-based agent workflows
- Task understanding and repo-aware context gathering
- Code generation with execution boundaries
- AI-assisted PR review and critic loops
- Anti-hallucination rules for safer agent behavior
- Token optimization for large-codebase workflows
- Reliable agent orchestration beyond simple prompting
Previously worked on:
- AOSP customization for NXP-based medical devices
- NDK-based telemetry libraries
- BLE communication and OTA-enabled systems
- Enterprise device security with Hexnode UEM
- Indoor navigation using Mapbox, Kotlin, and BLE
- Flutter-based event management workflows
val syed = Engineer(
primary = "Android Engineering",
currentFocus = listOf(
"Jetpack Compose",
"Agentic AI Development Tooling",
"On-device ML",
"AOSP Internals",
"Kotlin Multiplatform",
"Developer Productivity Systems"
),
mission = "Build reliable mobile systems and AI-assisted engineering workflows"
)| Area | What I Care About |
|---|---|
| Android Architecture | Clean, scalable, maintainable mobile systems |
| Agentic Engineering | Reliable AI workflows beyond simple code generation |
| Developer Productivity | Reducing repetitive engineering work with automation |
| On-device ML | Secure, optimized local inference on Android |
| AOSP & NDK | Understanding Android below the app layer |
| Build Systems | Faster, safer, more reliable release workflows |
| Harnessing Engineering | Engineering constraints, context, and execution boundaries around LLMs |
- Building skill-based agentic workflows for software engineering
- Improving token efficiency for large-codebase agent workflows
- Designing anti-hallucination rules for AI coding agents
- Exploring MCPs and production-grade agent orchestration
- Secure on-device inference with TensorFlow Lite
- Kotlin Multiplatform for shared mobile logic
- Android system internals, AOSP, and embedded Android workflows
I write and share ideas around Android, AI, mobile systems, and developer tooling.
- Android architecture and Jetpack Compose projects
- AI-powered developer tooling
- Agentic development workflows
- On-device ML and TFLite optimization
- AOSP, NDK, BLE, and embedded Android systems
- Kotlin Multiplatform experiments
- Open-source Android tooling
- Developer productivity automation
