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.
- 📱 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.
| 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 |
- 📱 [FitnessTracker] — A modern Android application demonstrating Kotlin ,Compose Multiplatform and Coroutines & Flow.
- 💼 LinkedIn: linkedin.com/in/deep-narayan-shukla-ab42bb21
- 📧 Email: shukla.deep86@gmail.com
- 🌐 Portfolio: deepshukla.github.io
"Building the intersection of mobile performance and on-device intelligence."