hey, i'm
Alberto
Espinosa
PhD candidate building intelligent systems that see, read, and understand.
I teach machines
to see and think.
I'm a PhD candidate in Computer Science focused on deep learning for computer vision and natural language processing. My work sits at the intersection of research and real-world impact—from training models that classify medical images to building LLM-powered agents that help businesses automate support, sales, and internal knowledge retrieval.
I've worked with everything from classical ML algorithms to cutting-edge Vision-Language Models, and I love turning complex AI into tools people actually use.
My toolkit
From raw data to production—
here's what I work with daily.
Image classification, object detection, and segmentation with CNNs and vision transformers.
Text understanding, sentiment analysis, and language generation with transformer architectures.
RAG pipelines, conversational agents for support & sales, and direct database Q&A systems.
VLMs for visual Q&A, image captioning, and cross-modal multimodal understanding tasks.
Classification, regression, and clustering — SVMs, XGBoost, random forests, and ensemble methods.