Welcome to my website! I am currently a Staff Data Scientist at Angi Home Services, where I work on machine learning systems for marketplace intelligence. Previously, I worked as an Applied Scientist at Amazon, specializing in developing cutting-edge machine learning algorithms to mitigate buyer risk during shopping experiences. Before that, 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.
My career is grounded in a research background focused on assistive technology and biosignal processing. I earned my Ph.D. in Electrical & Computer Engineering from the Georgia Tech Bionics Lab (GT-Bionics) at the Georgia Institute of Technology in Atlanta, GA in May 2019, where my work centered on developing a Tongue Drive System — a non-invasive, wearable assistive technology enabling people with severe paralysis to control computers and powered wheelchairs using tongue movements. During my master’s program at the University of Memphis, I worked as a graduate research assistant in the GT-Bionics Lab and gained hands-on hardware and firmware experience at the Embedded Systems Advanced Research and Prototyping (ESARP) Lab, where I contributed to ECG-based biometric identification and biosensor development.
This foundation in signal processing, embedded systems, and human-centered machine learning has shaped how I approach applied ML problems throughout my career — from health monitoring algorithms in hearing aids to large-scale fraud detection at Amazon, and now data-driven marketplace systems at Angi.
I also host an AI podcast series, Everything About AI Challenges, available on YouTube. The series explores the real-world challenges of artificial intelligence — from technical hurdles to broader implications — aimed at practitioners and curious minds alike.
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:
AI Podcast: Everything about AI Challenges
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