CV

Senior Machine Learning Specialist

DeepAgro

Startup developing AI-powered selective herbicide spraying devices.

• Mentored and collaborated with junior engineers.
• Engineered an instance image retrieval system using self-supervised learning.
• Researched and evaluated state-of-the-art ML architectures for feasibility and licensing compliance.

Semi Senior Machine Learning Engineer

DeepAgro

• Led R&D of a real-time weed detection system with 90% accuracy and 73% cost savings.
• Executed end-to-end ML projects: preprocessing, labeling, training, deployment.
• Designed project templates to improve traceability and MLOps workflows.

Mentor

Google Summer of Code

• Led code reviews and mentored students contributing to Xapian open-source community.

Semi Senior Software Engineer

DeepAgro

• Optimized and deployed C++/TensorRT DL models on Nvidia Jetson, achieving >30 FPS.
• Built a serverless AWS-based model-serving platform for millions of images.
• Established a CI/CD pipeline on in-house ARM devices.

Junior Software Engineer

Xapian

• Integrated six libraries to support multi-format text extraction.
• Applied multi-threading to isolate library bugs, improving stability.

Master’s Degree

National University of Rosario

Computer Science

Tiger Compiler

TriviaSolver

GPU-Quicksort

RGB image segmentation for selective spraying on fallow land

XII Congreso de AgroInformatica (CAI 2020) - JAIIO 49

Presented research on RGB image segmentation techniques applied to precision agriculture.