Software Engineer Coordinator - Internal Tools
L'Oreal | Mexico City | Jan 2026 - Present
- Coordinated an engineering squad building internal tools and platforms instead of buying off-the-shelf solutions.
- Partnered with engineering and product stakeholders to replace vendor tools with in-house software for better integration, control, and cost efficiency.
- Designed and implemented backend services, internal dashboards, and automation scripts for marketing, operations, and business teams.
- Owned technical design for new internal tools, covering APIs, data flows, and integrations with authentication, analytics, and internal data sources.
- Established coding standards, documentation practices, and reusable components to speed future internal tool development and maintenance.
- Bridged business and tech, turning vague tool requests into scoped features, technical tasks, and measurable impact.
AI Engineer
Monico | Mexico City, Mexico | Feb 2025 - Dec 2025
- Architected enterprise-grade RAG pipelines using Azure AI Studio, OpenAI Assistants, and Azure Foundry.
- Built an AI-driven question extractor achieving 92% precision on complex legal documents.
- Developed modular LangGraph agents for chunking, metadata extraction, classification, and validation.
- Designed prompt frameworks and evaluation tools for OpenAI Chat Completions, Function Calling, and Assistants API.
- Created a hybrid retrieval system combining Azure OpenAI embeddings, BM25, and FAISS, increasing recall by 30%.
- Engineered OCR and layout parsing pipelines using Azure Document Intelligence.
- Built production-grade ETL systems with webhook reporting and scalable Azure deployments.
- Learn more at monicoai.com.
Machine Learning Engineer
Quamtum Services | Mexico City, Mexico | May 2024 - Feb 2025
- Developed an AI-powered sales chatbot using Microsoft Copilot Studio integrated with CRM systems.
- Designed the EVA platform with real-time sensor dashboards, OpenAI-embedding Q&A for technical manuals, and a ticket generation fallback for uncertain answers.
- Built an end-to-end edge AI detection system covering data labeling, training, and deployment.
- Trained custom YOLOv8 models and optimized them with TensorRT for Raspberry Pi 5.
- Exposed a Flask API for threshold tuning and email alerts to keep field teams informed.
Researcher - Physics-Informed Neural Networks
Universidad Iberoamericana | Mexico City, Mexico | Jan 2023 - Aug 2024
- Built a 4-layer PINN model achieving MAE = 0.00065 and R2 = 0.92 on experimental solar absorption data.
- Optimized thin-film nanoparticle parameters, increasing absorption AUC by 112%.
- Built a live prediction API with Flask and an interactive front-end for rapid experimentation.
- Automated comparison of 1,710 theoretical versus predicted curves and classified results using MSE thresholds.
- Earned a top 5% research scholarship for the work.