Enrique Cureno

About Enrique Cureno

With over a decade of experience in data science and AI, I specialize in designing and deploying cutting-edge solutions to solve complex business challenges. At Addon Technologies, our team has engineered RAG architectures powered by Azure AI Search and OpenAI APIs, enabling improved data retrieval and natural language processing capabilities. We also developed scalable AI systems leveraging LLMs to automate knowledge-intensive tasks and drive operational efficiency. My work reflects a passion for innovation and collaboration, as seen in my ability to integrate AI models into enterprise environments. From enhancing Microsoft Search systems to implementing predictive analytics for ServiceNow data, I am committed to empowering organizations with transformative technologies. My focus remains on delivering robust, scalable, and client-aligned AI solutions that enable strategic growth.

Experience

1. Data Science & Ai Consultant

   Addon Technologies Inc

   Dec 2024 — Present · US

   Innovation & RAG Frameworks: Engineered reusable RAG architectures using Azure AI Search and OpenAI APIs to enhance natural language processing and retrieval accuracy.• Enterprise AI Automation: Designed end-to-end AI solutions on Microsoft Azure, integrating LLMs to solve complex business problems and automate manual workflows.• Scalable Systems: Collaborated with cross-functional teams to deploy production-grade AI systems aligned with strategic growth objectives.• AI Training & Model Development: Participated as a Handshake AI Fellow, contributing to the development and refinement of state-of-the-art AI models.• STEM-Focused Task Execution: Specialized in creating and reviewing complex, reasoning-based tasks within highly technical STEM domains, including Data Science (DS), Computer Science (CS), and Electrical Engineering (EE).• RLHF Contributions: Engaged in Reinforcement Learning from Human Feedback (RLHF) processes to improve the reasoning and performance capabilities of next-generation AI systems.

Education

• UTEL Universidad

  Master of Science, Data Science for Business

  2017 — 2019

• UNICEPES: Universidad Centro Panamericano de Estudios Superiores

  Doctor of Projects, Information and Communications Technology

  2019 — 2021

• UNICEPES: Universidad Centro Panamericano de Estudios Superiores

  Postdoctorate in Sciences, Data Science / Complexity Science

  2021 — 2022

• Instituto Tecnológico de Orizaba

  Associate of Science, Electronic Engineering

  1987 — 1989

• Universidad del Valle de Orizaba

  Bachelor of Science, Computer Systems Engineering

  1992 — 1997

• Universidad de Alcalá

  Research Stay, Innovation

Skills

• Business Process Improvement
• Customer & Vendor Relationships
• Program Management
• Team Management
• Solutions Advice
• Cost Reduction
• Leadership
• Process Automation
• System Integration
• Troubleshooting
• Service Delivery
• Microsoft Sharepoint
• Microsoft Access
• Microsoft Excel
• Vba
• Asp.net Web Api
• Microsoft Sql Server
• Databases
• Business Analysis
• Process Improvement
• Systems Analysis
• Microsoft Project
• Consulting
• Project Management
• Training