Hi there, I'm Deep Narayan Shukla 👋

Mobile Architect & Senior Android Engineer | On-Device AI Specialist

I have 12+ years of experience architecting high-performance mobile applications and scalable systems. My primary focus is on Kotlin, modern Android architecture (Jetpack Compose), and On-Device Generative AI integration to build intelligent, responsive, and privacy-first mobile experiences.

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🚀 What I Do

• 📱 Mobile Engineering: Building scalable, clean-architecture Android applications using Kotlin, Coroutines, and Jetpack Compose.
• 🤖 On-Device & Hybrid AI: Integrating LLMs, Small Language Models (SLMs), and edge-computing models directly onto mobile hardware using TensorFlow Lite, MediaPipe, and PyTorch Mobile.
• 🛠️ Data & Tools: Prototyping and evaluating AI models with Python, NumPy, and Pandas.
• ⚙️ Performance & Security: Optimizing mobile memory footprints, cold startup times, battery efficiency, and offline-first architectures.

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🛠 Tech Stack & Tools

Area	Technologies
Languages	Kotlin, Java, Python
Android Tech	Jetpack Compose, Coroutines & Flow, Dagger/Hilt, Ktor, Retrofit, Room, Clean Architecture
On-Device AI	MediaPipe, TensorFlow Lite, PyTorch Mobile, On-Device LLM Quantification/Optimization
Data & ML Tools	NumPy, Pandas, Jupyter, Git, CI/CD Pipelines
Testing & Quality	JUnit, Mockk, Espresso, Benchmark

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💡 Featured Projects & Research

• 📱 [FitnessTracker] — A modern Android application demonstrating Kotlin ,Compose Multiplatform and Coroutines & Flow.

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📈 GitHub Stats

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📫 Let's Connect

• 💼 LinkedIn: linkedin.com/in/deep-narayan-shukla-ab42bb21
• 📧 Email: shukla.deep86@gmail.com
• 🌐 Portfolio: deepshukla.github.io

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"Building the intersection of mobile performance and on-device intelligence."