AI & Machine Learning
Development and evaluation of Artificial Intelligence systems. Deep analysis of LLM architectures, data inference, and model optimization for specific use cases.
Research, analysis and development focused on cognition, accessibility and human-centered intelligent systems.
Rigorous analysis and technical development in Artificial Intelligence. I specialize in the intersection of complex systems, cognition, and human-AI interaction.
I have spent over 10 years developing data systems and artificial intelligence, combining technical rigor with a deep analysis of their impact.
My professional approach integrates software engineering, data science, and behavioral analysis. I am focused on understanding how artificial systems process information and interact with human cognition.
As a visually impaired professional working extensively with digital systems, I am particularly interested in accessibility, multimodal interaction and the development of AI systems aligned with real human needs and cognitive diversity.
As an AI Analyst and Researcher, my work is divided into two main areas:
Technical Development: I build data architectures, AI systems, and human-centered applications. I implement robust solutions in Python and JavaScript, prioritizing accessibility, performance, and practical utility.
Research & Synthesis: I analyze AI developments and communicate complex technical systems with clarity. My goal is to translate the complexity of the state-of-the-art into actionable strategic insights, free of noise and unfounded expectations.
Understanding the architecture and mechanics of artificial systems is fundamental to integrating them strategically, maintaining clarity about their real capabilities and limitations.
Systems designed to align with and amplify human cognition and functional utility.
Frameworks for ethical deployment, risk mitigation, and systemic accountability.
Multimodal interfaces and adaptive technologies for diverse cognitive and physical needs.
Study of behavioral dynamics, trust, and communication in synthetic-human partnerships.
Architectures that emulate or interface with human cognitive processing mechanisms.
Evaluating AI as embedded social systems, beyond pure mathematical abstraction.
Analysis of emergent algorithmic behavior and anthropomorphic user perception.
Broader impacts of intelligent automation on culture, labor, and social structures.
Evidence-based synthesis of technological trajectories and structural industry shifts.
Development and evaluation of Artificial Intelligence systems. Deep analysis of LLM architectures, data inference, and model optimization for specific use cases.
Research in human-computer interaction. Designing technological systems that complement and assist human cognition, prioritizing accessibility and functional usability.
Demystifying technological hype through evidence-based research. Synthesis and structured communication of the state-of-the-art in technology and AI.
Hello Wolf! - Notes on technology and cognition.
In this space, I publish technical essays, research notes, and strategic analysis on the development of artificial intelligence. My goal is to bring clarity and rigor to complex discussions about the impact of technology on behavior and society. (Note: Articles are currently available in Spanish).
Analysis of context retention mechanisms in AI and the fundamental limitations of current models in establishing continuous memory.
A case study on algorithmic anthropomorphization and how the design of conversational interfaces influences user perception.
Available for: