Co-founded Sensagro, a company aimed at supporting farmers by providing them with remote sensing data and field data insights to improve crop and pasture operations.- Developed automated processing pipelines and APIs in Python for handling vector data and remote sensing imagery, contributing to the ideation and implementation of new processes.- Utilized machine learning algorithms to create analytical endpoints, enabling the extraction of valuable insights from data for better decision-making in agriculture.- Led the front-end development team in building a cross-platform solution available on Web, Android, and iOS using Dart/Flutter.- Reached a remarkable user base, with over 2,000 users across 16 countries actively engaging with the platform.

Master of Science student and Graduate Research Assistant at Kansas State University. Conducting a research project to develop a root zone soil moisture daily product for the State of Kansas at a 250 m spatial scale by using sensors, models, and remote sensing products at different scales under a model-data fusion framework.

Collaborated with agronomists and developers to build Oryzativa, a tool that utilizes remote sensing in rice crops to provide actionable data to farmers.- Served as the leader of the development team, managing backlog fulfillment and acting as a crucial liaison between developers and customers.- Developed RESTful APIs using Python 3 and Django for geospatial data processing, leveraging a Google Cloud-based architecture.- Automated the entire workflow for processing remote sensing imagery from PlanetScope and other sources using Python, GDAL, and xarray, handling data for thousands of hectares daily.- Established solid and automated connections between backend services and various sources of imagery through Planet API.- Conducted customer training sessions to gather feedback, resolve issues, and explore new business opportunities, enhancing the value of the product.- Represented Oryzativa by presenting the solution at Planet Explore 2023 in Washington, DC.

Internship in the Soil Water Processes Lab at Kansas State University. Performed fieldwork and worked on developing a statewide soil moisture estimation tool.

Joined the AgroTrack team to contribute to the design and development of an innovative GPS guidance device for small farmers, utilizing a cost-effective microcontroller unit.- Collaborated in the development of geospatial models and delved into programming microcontrollers, contributing to the technical foundation of the product.- Played a key role in the debugging and testing phases, ensuring the software met quality standards from the early versions.- Engaged with customers through field visits to gain insights into user challenges, and actively contributed to addressing them with innovative solutions.