- 🔬 Senior Machine Learning Engineer with 7+ years of experience building production AI systems.
- 🤖 Specialized in Computer Vision, Generative AI, LLM Applications, AI Agents, MLOps, and Distributed AI Systems.
- ☁️ Experienced deploying AI solutions at scale using AWS, GCP, Kubernetes, Docker, NVIDIA Triton, and modern MLOps practices.
- 🏗️ Strong background in taking AI products from research and experimentation to production deployment and monitoring.
- 🌱 Passionate about AI Engineering, Agriculture Technology, Edge Computing, Geospatial Analytics, and Entrepreneurship.
- 🚀 Founder of Estragtegia, helping businesses identify and implement practical AI and automation opportunities.
- 📍 Based in Argentina, collaborating with startups, scale-ups, and enterprise organizations worldwide.
- 🤖 Building AI-powered systems, intelligent agents, and automation platforms for enterprise customers.
- 🚀 Designing production-ready AI architectures using FastAPI, Docker, Kubernetes, AWS, and GCP.
- 🔄 Developing scalable data pipelines, cloud-native services, and MLOps workflows.
- 📊 Delivering AI-powered products for advertising, analytics, and business automation.
- 🤖 Building AI agents that automate workflows traditionally performed by digital advertising teams.
- 🧠 Developing LLM-powered assistants and agentic workflows.
- ⚡ Building production-grade backend services and AI infrastructure.
- 🚀 Founded an AI consulting and software development company focused on practical business automation.
- 🤖 Building AI copilots, RAG systems, and WhatsApp-based AI assistants.
- 🏢 Helping organizations identify opportunities to leverage AI and automation.
- 🌱 Exploring AI applications in agriculture, industrial systems, and operational intelligence.
- 🚀 Led development of large-scale computer vision systems deployed across retail environments.
- 📹 Scaled AI inference pipelines serving thousands of cameras across multiple countries.
- 💰 Reduced inference costs significantly through optimization and infrastructure improvements.
- 🧠 Built and deployed people counting, tracking, age estimation, dwell time, and demographic analytics systems.
- ☁️ Designed production ML infrastructure using AWS, NVIDIA Triton, Docker, and Kubernetes.
- 📈 Contributed to technology initiatives supporting company growth and fundraising efforts.
- 🚜 Developing software for precision agriculture systems used in seeders and agricultural machinery.
- 🛰️ Building embedded applications integrating GPS, sensors, CAN Bus communications, and field mapping.
- ⚙️ Modernizing legacy C++/Qt codebases and software architecture.
- 🌱 Exploring integration of AI, telemetry, and operational analytics into agricultural equipment.
- 🔍 Fraud detection and prevention using Machine Learning.
- 🖼️ Face recognition, verification, and alignment using Azure Cognitive Services and DeepFace.
- 🤖 Automation and large-scale data collection pipelines for computer vision applications.
- 🔎 Developed PackageDNA, an open-source tool for software package analysis.
- 🛡️ Built DIARIO, a security platform that scans and analyzes documents for threats.
- 🌍 Led Aldara, a social network intelligence framework used by security analysts.
- 📊 Automated Google Ads campaigns with NLP-driven keyword generation.
- 📡 Built real-time data collection and analytics tools using Google Ads APIs.
- 🎓 Research Assistant and Teaching Assistant in Artificial Intelligence and Data Science.
- 🌦️ Published IEEE research on weather sensor fault detection using machine learning techniques.
- 📊 Worked on predictive analytics, anomaly detection, and intelligent decision systems.
AI-powered assistant that helps businesses identify automation and AI opportunities.
Tech: OpenAI, Claude, FastAPI, RAG, Vector Databases, WhatsApp APIs
Agricultural intelligence platform focused on telemetry, operational analytics, and AI-powered decision support.
Tech: FastAPI, PostgreSQL, Geospatial Data, Satellite Imagery, AI Agents
Agent-based systems that automate campaign management, analysis, reporting, and operational workflows.
Tech: OpenAI, Claude, FastAPI, LangChain, Python
Production-grade machine learning serving infrastructure running computer vision models at scale.
Tech: NVIDIA Triton, TensorRT, Docker, Kubernetes, AWS
Large-scale deployment of people counting, tracking, demographic estimation, and dwell-time analytics systems.
Tech: PyTorch, TensorFlow, OpenCV, AWS, Triton
Machine learning system for identifying sensor anomalies in meteorological stations.
Publication: IEEE Xplore
Tech: Python, Scikit-Learn, Time Series Analysis
- Weather Sensor Fault Detection using Machine Learning Techniques
https://ieeexplore.ieee.org/document/9505429
- Cómo engañar a las apps que usan Deep Learning para la detección de melanomas
- Las primeras vulnerabilidades oficiales en Machine Learning
- Pensando en ataques a WAFs basados en Machine Learning
- Adversarial Attacks, el enemigo de la inteligencia artificial
- Inteligencia artificial para contrarrestar a la inteligencia artificial (DeepFake)
- Generación de datos artificiales (Data Augmentation)