About Me
AI Engineering student focused on building scalable, production oriented systems at the intersection of machine learning and mobile applications.
I have hands on experience designing and deploying end to end systems—from backend event pipelines to on device ML inference—with an emphasis on performance, low latency, and real world usability.
# Mobile & Edge AI
* Kotlin Native Android: Jetpack Compose, Coroutines, Flow, Background Threading.
* Flutter & Dart: Cross platform architecture, Platform Channels, Custom Painters, Tizen OS porting.
* TensorFlow Lite: On device FP16/INT8 quantization, GPU/NNAPI hardware acceleration, real time image/text inference pipelines.
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