Available for opportunities

Hi, I'm Pedro Álvarez AI Engineer

Building intelligent systems that transform how we interact with data and technology. Specializing in RAG systems, LLM applications, and production ML pipelines.

5+ Years Experience
20+ AI Projects
10M+ Queries Processed
ai_engineer.py
class AIEngineer:
    def __init__(self):
        self.skills = [
            "LLMs",
            "RAG Systems",
            "ML Pipelines",
            "Vector DBs"
        ]
        self.passion = "∞"
    
    async def build_future(self):
        return "🚀 Innovation"
🤖
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Turning AI Ideas Into Reality

I'm an AI Engineer passionate about building intelligent systems that solve real-world problems. With a strong foundation in machine learning and software engineering, I specialize in taking AI from research to production.

My journey started with traditional ML, but I've evolved with the field—now focusing on large language models, retrieval-augmented generation, and multi-agent systems. I believe the best AI solutions are those that seamlessly integrate into existing workflows.

When I'm not building AI systems, you'll find me contributing to open-source projects, writing technical blog posts, or exploring the latest research papers.

AI & Machine Learning

LLMs (GPT-4, Claude, Llama) RAG Systems Fine-tuning Prompt Engineering LangChain/LlamaIndex Computer Vision

Languages & Frameworks

Python TypeScript FastAPI Next.js React Node.js

Data & Infrastructure

PostgreSQL MongoDB Pinecone Redis Docker Kubernetes

Cloud & MLOps

AWS GCP Cloudflare MLflow Airflow CI/CD

Featured Projects

A collection of AI systems I've built, from RAG applications to production ML pipelines.

🎬

IMDB RAG System

Production-grade Retrieval Augmented Generation system processing 10M+ movie queries. Built with LangChain, Pinecone, and GPT-4 for intelligent movie recommendations and analysis.

RAGLangChainPineconeGPT-4Python
✈️

AI Travel Planner

Intelligent travel planning assistant that creates personalized itineraries using multi-agent systems. Integrates with booking APIs and uses context-aware recommendations.

Multi-AgentLLMFastAPIReactPostgreSQL
📄

Document Intelligence

Enterprise document processing pipeline that extracts, classifies, and summarizes documents using vision-language models. Handles 50K+ documents daily.

Computer VisionOCRClaudeAWSDocker
📊

Real-time Sentiment Engine

Streaming sentiment analysis system for social media monitoring. Processes 100K+ posts per hour with sub-second latency using fine-tuned transformers.

NLPKafkaTransformersRedisKubernetes
💬

Conversational AI Platform

Multi-tenant chatbot platform with custom knowledge bases. Features conversation memory, tool use, and seamless handoff to human agents.

LLM AgentsVector DBWebSocketTypeScriptNext.js
⚙️

ML Pipeline Framework

Open-source framework for building reproducible ML pipelines. Includes experiment tracking, model versioning, and automated deployment to multiple cloud providers.

MLOpsAirflowMLflowTerraformGitHub Actions

Professional Experience

Senior AI Engineer

TechCorp AI

2023 - Present

Leading the development of enterprise RAG systems and LLM-powered applications. Architected a document intelligence platform processing 50K+ documents daily.

RAG SystemsLLM ApplicationsTeam Leadership

Machine Learning Engineer

DataFlow Labs

2021 - 2023

Built and deployed ML pipelines for real-time sentiment analysis and recommendation systems. Reduced model inference latency by 60% through optimization.

ML PipelinesReal-time SystemsModel Optimization

Data Scientist

Analytics Pro

2019 - 2021

Developed predictive models and NLP solutions for financial services clients. Created automated reporting systems saving 100+ hours monthly.

NLPPredictive ModelingFinancial ML

Let's Build Something Amazing

I'm always interested in hearing about new projects and opportunities. Whether you need help with AI systems, want to discuss ideas, or just want to say hi, feel free to reach out!

Say Hello