AI at the Edge
Bridging the gap between intelligent algorithms and the physical world. A journey from embedded systems to deploying machine learning on resource-constrained devices.
About Me
I am a System Architect and Embedded Systems Engineer transitioning into the exciting fields of AI and Edge Computing. With a Master's in Intelligent Systems Engineering and hands-on experience in hardware prototyping, real-time systems, and data pipelines, I am passionate about creating efficient, powerful, and intelligent devices.
My goal is to leverage my expertise in low-level programming and system design to optimize and deploy machine learning models on microcontrollers and other edge devices. This portfolio documents my learning, projects, and insights as I explore this intersection of hardware and artificial intelligence.
Projects
Frames of Reference: A Study of Centers in Rotational motion
A Simulation of the solar system with assumed circular orbit that shows the role of centers in analysis of rotional motion
View Live Project→
Azaan: The Call to Prayer across the globe
A visiualization of how the Azaan and the corresponding Islamic Prayer(salah) times move over the globe in a 24hr time period.
View Live Project →Automated Environmental Logger
Low-power logger for environmental monitoring that uses collected data to train a light pollution prediction model.
View on GitHub →System-Wide E-Ink Simulation on Android via AOSP SurfaceFlinger Modification
This project aims to develop a custom Android OS modification that applies persistent, system-wide visual effects(a GPU-Accelerated Sobel Filter as a start) to simulate an e-ink or minimalist display. The core technical approach involves modifying the Android Open Source Project (AOSP) to alter the behavior of SurfaceFlinger, the native service responsible for composing and rendering all visual layers.
View on GitHub →Writings & Thoughts
September 1, 2025
Why Edge AI is the Future of Embedded Systems
How on-device processing is revolutionizing IoT, robotics, and consumer electronics, reducing latency and enhancing privacy...
October 15, 2025
Getting Started with TensorFlow Lite on an STM32
My step-by-step journey of compiling the first "Hello World" ML model on a bare-metal microcontroller...