About

About

Implementation consultant specializing in conversational AI design and delivery for enterprise recruitment systems. Rare combination of applied NLP research, forensic UX analysis, and end-to-end chatbot implementation — from user flow design through client-facing delivery. Background in linguistics and human-in-the-loop AI informs how I approach interaction design, edge case detection, and system reliability.

// Current Role

Associate Implementation Consultant, Sr. — iCIMS 03/2026 – Present · Remote, Mexico City

Design and implement conversational AI chatbots for enterprise recruitment workflows using the iCIMS Digital Assistant platform. Work spans initial concept through client delivery.

  • Create user flows and process flows for effective, low-friction chatbot interactions aligned to client requirements and UX goals
  • Collaborate with peers, team leads, and clients to align chatbot designs with key process outcomes and stakeholder expectations
  • Conduct UX research and evaluate client feedback to iterate on chatbot behavior across deployments
  • Built an internal alerting and logging system using n8n automation for system health monitoring and QA visibility — documented on this blog

// Experience

Support Engineer & AI Specialist — Odoo Mexico 2025 – 2026 · Mexico City

Configured and tested AI chatbot flows for CRM, Sales, and Website modules. Forensic analysis of chatbot interactions across 100,000+ users — reconstructing conversation flows, identifying edge cases, documenting system constraints.

  • Designed improvement workflows by linking ~30 related chatbot interaction cases monthly, identifying recurring failure patterns, and translating findings into specific recommendations
  • Built escalation-ready documentation for R&D with reproduction steps, conversation logs, contextual analysis, and impact assessments
  • Analyzed prompts, model outputs, and RAG system behavior to recommend conversation flow adjustments within system constraints
  • Acted as internal chatbot SME — consulting cross-functional teams on prompt engineering, conversation design, and AI reliability

Language Data Specialist · AI Data Specialist — TELUS International & Multiple Technology Companies (NDA) 2023 – 2025 · USA / Mexico · Freelance

  • Tested and validated LLM conversational outputs for accuracy, consistency, and linguistic appropriateness across English and Spanish
  • Built QA workflows using statistical analysis to detect annotation drift, consistency issues, and pattern failures in NLP datasets
  • Designed prompts and conversation guidelines for Spanish-language conversational AI systems

ML & NLP Documentation and Data Quality Analyst — Explosion AI (spaCy) 2021 – 2023 · Germany · Remote

  • Configured low-code annotation workflows using Prodigy, enabling non-technical contributors to produce high-quality training data
  • Built annotation guidelines and quality criteria for NLP datasets in production environments
  • Documented edge cases and failure modes through structured feedback loops with engineering teams
  • Collaborated asynchronously across time zones on client-specific quality standards

NLP Researcher · Dataset Manager — University of Arizona College of Information 2021 – 2022 · Tucson, AZ

  • Built reproducible data workflows for ML research on text simplification and health literacy (HIPAA/FERPA compliance)
  • Led annotation processes for spoken language analysis, managing a team of annotation specialists
  • Dataset collection protocols recognized by FASEB for excellence in data governance and reuse

Backend Analyst & Data Documentation Specialist — University of Arizona Libraries 2020 – 2021 · Tucson, AZ

Designed technical infrastructure for data repositories. Built automated workflows and user-facing documentation. Curated 20+ datasets with metadata supporting reproducibility.

// Skills

AI & Machine Learning Prompt Engineering Low-Code Chatbot Configuration RAG Chatbot Evaluation AI Quality Assurance Human-in-the-Loop AI Conversational AI Design LLM Output Validation User Flow Testing & Iteration

Data & Analysis Statistical Analysis Data Annotation Dataset Quality Evaluation Pattern Recognition Root Cause Analysis

Documentation & UX Conversational Flow Design Client Requirement Translation Knowledge Base Development User Flow Design Self-Service Enablement Technical Writing

Tooling Python Bash SQL · spaCy FastAPI Hugging Face scikit-learn Pandas · Prodigy Label Studio n8n · Git CI/CD APIs Figma · Linux macOS Windows

// Education

Degree Institution Year
Ph.D. Hispanic Linguistics (Incomplete) · Language Data Management University of Arizona 2024
M.S. Human Language Technology · AI & NLP Focus University of Arizona 2023
M.A. Hispanic Linguistics University of Arizona 2014
B.A. Linguistics & Spanish Teaching as a Second Language Autonomous University of Querétaro 2012

// Publications

Exploring High-Variability Phonetic Training through Text-To-Speech Technology in ESL Pronunciation Pedagogy Al-Shami, Cardoso & Romero Diaz · EuroCALL · 2024 doi.org/10.4995/EuroCALL2024.2024.19077

Collecting High-Quality Adversarial Data for Machine Reading Comprehension Tasks Romero Diaz, Anioł & Culnan · Association for Computational Linguistics · 2022 doi.org/10.18653/v1/2022.dadc1.6

The Early Stages of the Multilingual College Email Corpus (MCEC) Romero Diaz et al. · Lancaster University · 2021 wp.lancs.ac.uk/laelpgconference

// Languages

Language Level
Spanish Native
English Full Professional · C2
Portuguese Beginner · A1

// Contact