Python AI Engineer

I am a Python AI engineer focused on building LLM applications, autonomous agent pipelines, and retrieval-augmented generation systems. I develop end-to-end AI products with attention to reliability, usability, security, and operational cost control.

I work extensively with the Anthropic Messages API, including tool use, function calling, structured outputs, and multi-stage agent workflows. My work includes systems that research information, generate content, interact with external APIs, and run unattended in production-oriented environments.

I build backend services and AI platforms using Python, Flask, FastAPI, REST APIs, SQLite, PostgreSQL, OAuth2, JWT, and AES-GCM. I am experienced with crash-safe processing, checkpointing, token persistence, rate limiting, API-key auditing, and defensive parsing across third-party providers.

I have developed RAG applications using ChromaDB, embeddings, chunking strategies, relevance-ranked retrieval, PDF processing, and speech-to-text capabilities. I also build frontend and mobile experiences with React, TypeScript, Swift, and SwiftUI.

I am currently pursuing a Bachelor of Science in Applied Artificial Intelligence at Miami Dade College. I have shipped independent applications to the App Store and contributed to cross-functional AI and education technology projects in Miami.