Exploring Machine Learning and Embedded Systems: Adventures in Technology

mn_sahadat

Welcome to my website! I am currently an Applied Scientist at Amazon, specializing in developing cutting-edge machine learning algorithms to mitigate buyer risk during shopping experiences.

Previously, I worked as a Machine Learning Engineer at Starkey Hearing Technologies, where I developed computationally efficient health and wellness monitoring algorithms using audio and IMU signals for hearing aids.

I earned my Ph.D. in Electrical & Computer Engineering (ECE) from the Georgia Tech Bionics Lab (GT-Bionics) at the Georgia Institute of Technology (Georgia Tech) in Atlanta, GA in May 2019. During my master’s program at the University of Memphis (UofM), I worked as a graduate research assistant in the GT-Bionics Lab and gained experience at the Embedded Systems Advanced Research and Prototyping (ESARP) Lab at UofM.

Before moving to the United States, I served as a lecturer for three years at Shahjalal University of Science and Technology (SUST) in Sylhet, Bangladesh, and International Islamic University Chittagong (IIUC) in Dhaka Campus, Bangladesh. I hold a Bachelor of Science degree in Electrical & Electronic Engineering from Bangladesh University of Engineering & Technology (BUET) in Dhaka, Bangladesh.

Designing embedded systems is not just my profession but also my passion. I enjoy creating new hardware designs and writing firmware to bring them to life. My interests extend to machine learning, statistical data analysis, signal processing, and UI development.

I am committed to continuous learning, striving to discover something new every day and remaining humble about my existing knowledge. Visit the Miscellaneous page for interesting links and details about my hobby projects.

Thank you for visiting my website. Feel free to explore and reach out if you have any questions or would like to connect.

Quick Links:

PhD Research

MS Research & Projects

Fun Projects

Here are my social media links:

LinkedIn

YouTube

GitHub

Google Scholar