Summary
Felipe Jimenez is an AI Engineer with 8 years of hands-on experience building production-grade AI and industrial software, from PLC data pipelines to multi-agent LLM orchestration. He combines deep practical skills in Python, FastAPI, LangGraph/LangChain, RAG and embeddings with SQL database design and on-site industrial deployments that turned noisy plant-floor signals into reliable business intelligence. Felipe has shipped computer vision quality-control systems and VLM prototypes constrained by real hardware, and he’s delivered enterprise AI narratives and conversational data agents for international clients. Comfortable across full-stack stacks (Next.js, React Native) and Azure, he’s as likely to negotiate scope with factory managers in Spanish as to benchmark Chain-of-Thought prompts for research prototypes. Notably, he gravitates toward the “unglamorous” data work—normalization and integration—that makes AI systems robust in production.
8 years of coding experience
6 years of employment as a software developer
Ingeniero Civil Informático, Computer Software Engineering, Ingeniero Civil Informático, Computer Software Engineering at Universidad del Bío Bío
Finnish, English, finlandés