- Research Scientist at Texas A&M AgriLife Research
- Google Developer Expert (GDE) in Machine Learning.
- Former Microsoft Student Partner.
- Full-stack developer in Python and Javascript.
- Mobile application developer in Android using Kotlin and Java.
- Cloud platforms: GCP, Azure, and AWS.
Proficient in .Net, MATLAB, and C++. I also have experience working with Ml/Dl/Data Science libraries such as Tensorflow, PyTorch, Scikit-Learn, Scipy, Dask, Pandas, OpenVINO, and Opencv.
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🚜 I am currently working as a Research Scientist for Texas A&M AgriLife Research. My research focuses 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.
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🔭 My areas of interest include:
- The application of Geophysics tools like Ground Penetrating Radar
- Signal processing and computer vision.
- Machine Learning and Deep Learning.
- Large language Models (LLMs) and Multi-Agents applications
- Remote sensing (UAV and satellite imagery processing).
- Geophysics data science.
- Mathematical and electromagnetism simulation.
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🌱 I’m currently learning Jax and Transformers in my free time.
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👯 Looking to collaborate in any open-source project related to the research areas mentioned above or with social meaning.
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🚀 Open-source projects: FalconCV, CVStudio and Rigging.js.
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⚡ Fun fact: Before I went to school, I wanted to be a soccer player.
- Graduate Remote Sensing Certificate, College of Geoscienses - Texas A&M University
- Deep Learning Udacity Nanodegree
- Intel® Edge AI for IoT Developers Nanodegree
- Intel Edge AI Certification
- Tensorflow Developer Certificated
