Greetings!
I’m thrilled to share my expertise in mobile development (Android, WearOS / iOS, iWatch, iPad), augmented / virtual reality (ARCore / ARKit, RealityKit — RealityView, Reality Compose), and artificial intelligence / machine learning (TensorFlow & Scikit-Learn) @ Biotech.
Over the years, I’ve learned important lessons while building on mobile platforms:
1. Native declarative / reactive development is the way to go, and we’ve seen tremendous benefits from adopting this architecture.
— Android: Jetpack Compose / Kotlin Flow
— iOS: SwiftUI / Swift structured concurrency / SwiftData
2. Bluetooth is crucial, and we’ve leveraged Kotlin to make BLE on Android much easier.
I firmly believe that true advancements in healthcare will come from combining mobile sensors, machine learning, and real-time physiological data.
In my current work with artificial intelligence / machine learning:
- As a Data Janitor, I have extensive experience using Pandas/Numpy to clean and process complex datasets.
- As an ML Detective, I’ve generated complex biological ML models with TensorFlow / Scikit-Learn, gaining insights with tools like SHAP values.
My ongoing project involves a Mobile AI App for Real-Time Microdose Notifications. We utilize sensor data from watches (WearOS 3 / iWatch) and health information (Google Health Connect / Apple HealthKit) to determine the best time to microdose medication using our trained ML models. We’re confident that this innovation will revolutionize healthcare.
I’ve been at the forefront of mobile development:
- For Android Jetpack Compose, I wrote one of the first articles and published one of the first apps on Google Play Store.
- Similarly, for Apple iOS SwiftUI, I started working with Swift in beta and wrote articles about SwiftUI, SwiftData, and visionOS.
My mobile architecture expertise includes a scalable approach using the latest libraries, CI/CD, and feature release tracking. I’ve successfully implemented the Clean Architecture with MVI pattern, Jetpack Compose with Material 3 design, Kotlin Coroutines & Kotlin Flow, Ktor for networking, and more.
I’m eager to discuss how my hardware, software, machine learning, Android, iOS, and wearable design experience can contribute to your projects.
Looking forward to connecting soon!
Full Letter: https://shorturl.at/adgsU
