Achieved the IBM Full Stack Software Developer certification. This professional milestone broadened my expertise with an array of modern technologies, equipping me to build end-to-end software solutions. It affirms my commitment to ongoing learning and professional development in the dynamic field of software engineering.

Completed the Big Data Specialization through Coursera by UC San Diego. This educational path provided me with essential skills in data modeling, management systems, integration, processing, and analytics. The final capstone project, done in partnership with Splunk, signifies a pivotal point in my journey in data science.

Finished the Deep Learning Specialization via Coursera. Through this specialization, I have honed my abilities to construct and implement neural network architectures, such as Convolutional and Recurrent Neural Networks, for applications like voice recognition and natural language processing. It marks a key phase in advancing my expertise in AI technologies.

Co-authored a paper in Scientific Data on SEN2NAIP, a comprehensive dataset for training super-resolution models that enhance the spatial resolution of Sentinel-2 imagery for a wide range of applications.

Received recognition for top academic performance in Geographic Engineering, ranking first in my class. This honor is a reflection of my dedication to academic excellence in the field.

Contributed as a co-author in the development of ML-STAC, a framework that offers a structured approach for cataloging and adapting Earth Observation datasets to train Machine Learning models. This initiative has introduced a streamlined format for EO data, facilitating dataset preparation and access for a variety of machine learning tasks.