LLMRAGAI Agents
Advanced LLM Applications with RAG
Exploring modern approaches to building LLM applications with Retrieval Augmented Generation...
2024-02-15
8 min read
Harold Eustaquio
Machine Learning Engineer & AI Developer
Specialized in machine learning, AI-driven solutions, and data analysis. Experienced in building and optimizing models, automation, and real-time data processing for intelligent decision-making.
Professional Experience
Skills
Programming
Python, R, SQL
Proficient in major data science programming languages and database querying.
Machine Learning
scikit-learn, XGBoost, LightGBM
Building and deploying ML models for classification, regression, and clustering tasks.
Data Visualization
Matplotlib, Plotly, Seaborn
Creating interactive and insightful data visualizations.
Business Intelligence
Power BI, Tableau
Developing comprehensive dashboards and business reports.
AI Agents
n8n, LangChain, AutoGen
Building autonomous AI agents and workflow automation systems.
Latest Projects
Data AnalysisAWS
Air Quality Analysis in Lima
The Lima Air Quality Analysis project collects, processes, and visualizes air quality data in Lima, Peru. It leverages AWS for storage and scalability, featuring an automated data pipeline and an interactive dashboard displaying real-time metrics and historical trends.
Technologies
Data ScienceMachine LearningAWS
Pima Diabetes Prediction
Implementation of machine learning models to predict diabetes using the Pima dataset. Clinical variables such as pregnancies, glucose, blood pressure, skinfold thickness, insulin, BMI, pedigree function, and age are analyzed to identify positive cases, facilitating early diagnoses and informed medical decisions.
Technologies
AI AgentsMachine Learning
Sentiment Analysis for Mental Health
Advanced conversational AI using RAG architecture and vector embeddings. This project implements a conversational agent that analyzes user sentiment and provides personalized mental health recommendations.
Technologies
Machine LearningData Science
Beer Consumption Prediction in Sao Paulo
Predictive model for beer consumption in Sao Paulo using regression analysis. This project analyzes beer consumption data to forecast future trends and optimize inventory management.
Technologies
Latest Blog Posts
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Deep LearningProductionMachine Learning
Deep Learning in Production
A comprehensive guide to deploying and scaling deep learning models in production environments...
2024-02-01
12 min read
Education
Contact Me
If you have questions about a project, ask me