Current Position

I'm a Research Scientist at Texas A&M AgriLife. My expertise and research interests lie in applying Geophysics tools like Ground-Penetrating Radar (GPR), mathematical and electromagnetism simulations, signal processing, Artificial Intelligence, Machine Learning, and Deep Learning. My current research is focused on designing, developing, and implementing end-to-end software solutions and computational algorithms to analyze remote sensing datasets using state-of-the-art data science, signal processing, and machine learning methods.

Community Role

Beyond my research, I am an open-source advocate deeply committed to community engagement and knowledge sharing. Leveraging on Google's recognition as a "Google Developer Expert" in Machine Learning and a "Google Cloud Champion," I do my best to actively contribute to the community by creating and publishing content around Machine Learning, TensorFlow, and related Google Cloud Platform(GCP) services, such as Vertex AI, speaking at developer conferences and meetups, and mentoring students and startups seeking guidance in the space of Machine Learning.

Background and academia

My academic journey is rooted in computer science and data science, culminating in a Ph.D. in Engineering focused on ML and a graduate certificate in Remote Sensing from Texas A&M University. Additionally, along with my academic accomplishments, I have over ten years of experience working in the industry as a data science and full-stack software developer and teaching experience. This background and my experience working with interdisciplinary teams of scientists and experts from different fields have given me unique skills and the ability to work on breaking complex problems into manageable pieces and uncovering efficient solutions within tight timelines.

Technical skills

I am passionate about programming and enjoy leveraging my skills to bring innovative ideas to life. As a certified member of the TensorFlow and Intel Edge AI networks, I am a full-stack developer proficient in Python, JavaScript, .Net, MATLAB, and C++. My expertise extends to mobile application development for Android and creating robust cloud solutions on GCP. As a data scientist, I have dedicated extensive hours to analyzing multidimensional data using a wide range of Machine Learning and Deep Learning libraries, including TensorFlow, PyTorch, Scikit-Learn, Scipy, Dask, Pandas, OpenVINO, and OpenCV.

I am open to collaborating and engaging in discussions about creating tools that could positively impact people's lives. Please feel free to reach out.