Hi, my name is
I build intelligent systems that turn data into actionable insights. Specialized in NLP, deep learning, and scalable ML infrastructure.
I'm a Machine Learning Engineer with a passion for building intelligent systems that solve real-world problems. My journey in tech began at UC Berkeley, where I developed a deep understanding of computer science fundamentals and machine learning architecture.
Originally from Chile π¨π±, I bring a unique perspective to problem-solving, combining technical expertise with a global mindset. I specialize in NLP, deep learning, and building scalable data pipelines that drive business impact.
When I'm not coding, you'll find me running πββοΈ, watching NBA games π, or exploring the latest One Piece chapter π΄ββ οΈ. I'm also an avid yerba mate enthusiast with a growing collection of gourds!
Areas where I excel
Deep expertise in designing and deploying ML models, from classical algorithms to state-of-the-art deep learning architectures.
Building robust, scalable data pipelines and infrastructure that power data-driven decision making.
End-to-end ML lifecycle management, from experimentation to production deployment and monitoring.
Some things I've built
An end-to-end ML application that scrapes 20,000+ tech job listings and uses NLP to predict salary ranges. Combines web scraping, feature engineering, and interactive deployment.
Multi-label text classification system that detects various types of toxic content. Leverages advanced NLP techniques and demonstrates expertise in handling imbalanced datasets.
Serverless data engineering pipeline on AWS that processes and analyzes YouTube trending video data. Demonstrates cloud-native architecture and big data processing capabilities.
Tools I work with
Let's build something great together
I'm currently looking for new opportunities and my inbox is always open. Whether you have a question, want to collaborate on a project, or just want to say hi, I'll try my best to get back to you!