I was awarded the ROSCon 2026 Diversity Scholarship to attend ROSCon, the leading global conference for ROS/ROS 2 developers, held in Toronto from September 22–24, 2026; there, I'll join the full-day hands-on workshop "Advanced Aerial Robotics with PX4 and ROS 2: Custom Flight Modes and Beyond," building custom PX4 flight modes in ROS 2 and orchestrating autonomous multi-phase missions across multirotors, rovers, and VTOLs. (September 2026, International level)
Ecuador's Ministry of Agriculture, Livestock and Fisheries (MAG) formally invited CacaoHealth Detector to a coordination working table with its Undersecretariat of Agricultural Production, recognizing our technical and research capacity to support the country's agricultural technification efforts. Centered on low-impact agricultural machinery, the meeting marked a step toward bringing our pest-detection technology into national rural extension and farmer capacity-building initiatives. (February 2026, National level)
I was awarded a scholarship to attend and present at the Summit of AI in Latin America (SALA), a leading regional AI event that fosters learning, mentorship, and collaboration between students and industry leaders; there, I presented a poster on a robot I co-developed, inspired by earlier participation in the same initiative.
Selected as a Youth Leader for the forum on “Climate Action and Social Impacts.” The event brought together delegates from over 100 countries, highlighting key recommendations on youth participation in climate governance, sustainable innovation, and ethical action in response to climate change. (October 2025, International level)
It is an immense joy and a blessing to have achieved this success alongside my friends Juan Saeteros Macias, Milena Rodriguez Astudillo, Erick Mendoza Macias, Joshua Cobos Valle, Rolando Mendieta Gomez and George Yaguana Mendoza engineers from ESPOL. We obtained $8,500 in seed capital to carry out our idea in 2026.
Winning Idea:
CacaoHealth Detector
It consists of an autonomous vehicle with computer vision that detects and counts pests in cacao plantations to identify areas of the plantation affected by them. It generates intuitive and accurate reports that help reduce production losses and improve sustainability by using fewer pesticides on the crop.
You can review our presentation slides of the official project at this Link Canva
An event where the best theses are presented, and students showcase their impact on the industry.
We were also featured on national television, which attracted the attention of people interested in becoming early investors in the project.
It is an immense joy and a blessing to have achieved this success alongside my friends Erick Mendoza Macias, Juan Saeteros Macias, Alan Steven Bajaña Granizo, and Daniela Choez Mora, students at ESPOL. I had the honor of leading our team throughout the competition and also of developing a pest detection model with YoloV8 for the modernization of cacao agriculture in Ecuador. We proposed a viable business plan that promotes sustainability, using regenerative agricultural practices and enhancing the well-being of farmers. Our proposal was evaluated based on its feasibility, innovation, economic viability, impact, and shared value, competing alongside other young Ecuadorians in the Nestlé challenge. We obtained $5,000 in seed capital to carry out our idea in 2025 and contribute to strengthening the cacao sector and its supply chain in the country.
Winning Idea:
CacaoHealth Detector
It consists of an autonomous vehicle with computer vision that detects and counts pests in cacao plantations to identify areas of the plantation affected by them. It generates intuitive and accurate reports that help reduce production losses and improve sustainability by using fewer pesticides on the crop.
You can review our presentation slides of the official project at this Link Canva