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DIEGOCASASBUENASAI Developer

MEET DIEGO
D. CASASBUENAS
Diego Casasbuenas
Diego is an AI Engineer specialized in LLMs and agents. Since 2023, he began his journey in the world of data science and artificial intelligence, developing projects ranging from the basics to advanced implementations: linear regressions, binary classification, ensemble and boosting models, time series analysis, recommendation systems, anomaly detection, LLM fine-tuning, building RAG systems, and creating agents applied to complex workflows. Beyond his professional work, he is passionate about running, the gym, and a lifestyle focused on personal growth. Thanks to this approach, he developed the habit of reading, having completed more than 10 books in recent years, which has strengthened his mindset and outlook on life. He also enjoys Formula 1 as one of his favorite hobbies.

Meet Diego

Skills
D. CASASBUENAS

Explore Diego’s Skills

Click on each node to discover detailed explanations, related projects, and the tools behind them.

Diego's Skills
Core AI & ML
LLM's
MLOps
Anomaly Detection
Time Series
Learning
Deep Learning
Recommenders
Applications
RAG
Fine-Tuning
Agents
CI/CD
Deployment
Pipelines

Skills

PROJECTS
D. CASASBUENAS
RAG-Powered Legal Assistant
Automated ML Pipeline
Real-time Object Detection
Domain-Specific LLM Fine-tuning
Business Intelligence Dashboard
Multi-Agent Workflow System
Neural Network Optimization Platform

Projects

SERVICES
D. CASASBUENAS

Fine-tuning LLMs

Adapting language models to specialized knowledge for concrete use cases.

RAG Systems (Retrieval-Augmented Generation)

Implementing architectures that combine information retrieval with language models for more accurate and up-to-date responses.

Intelligent Agent Automation (MCP Agents)

Designing autonomous workflows that integrate multiple tools and systems.

Chatbots & Virtual Assistants

Developing intelligent conversational solutions for customer service, internal support, or process automation.

Data Analysis & Data Science

Extracting actionable insights through statistical models, machine learning, and data visualization.

Computer Vision

Building systems for image classification and advanced object detection.

Services