I am an AI Engineer and Data Scientist specializing in Machine Learning, Generative AI, and agentic AI systems. I design intelligent solutions using LLMs, AI agents, multi-agent architectures, and cloud-based ML pipelines across Azure, AWS, and Google Cloud. My toolkit includes Python, neural networks, NLP, computer vision, context engineering, retrieval-augmented generation (RAG), and modern agent toolchains with Azure OpenAI, Gemini + ADK, and MCP. I develop applied AI systems that balance technical rigor with tangible business value, including sentiment analysis pipelines, deep-learning classifiers, and automated analytics workflows. With an MBA and background in economics, I translate complex AI concepts into data-driven decisions and strategic insights. I am known for problem-solving, innovation, and bridging AI engineering with business outcomes.

Wilfredo Contreras

I am an AI Engineer and Data Scientist specializing in Machine Learning, Generative AI, and agentic AI systems. I design intelligent solutions using LLMs, AI agents, multi-agent architectures, and cloud-based ML pipelines across Azure, AWS, and Google Cloud. My toolkit includes Python, neural networks, NLP, computer vision, context engineering, retrieval-augmented generation (RAG), and modern agent toolchains with Azure OpenAI, Gemini + ADK, and MCP. I develop applied AI systems that balance technical rigor with tangible business value, including sentiment analysis pipelines, deep-learning classifiers, and automated analytics workflows. With an MBA and background in economics, I translate complex AI concepts into data-driven decisions and strategic insights. I am known for problem-solving, innovation, and bridging AI engineering with business outcomes.

Available to hire

I am an AI Engineer and Data Scientist specializing in Machine Learning, Generative AI, and agentic AI systems. I design intelligent solutions using LLMs, AI agents, multi-agent architectures, and cloud-based ML pipelines across Azure, AWS, and Google Cloud. My toolkit includes Python, neural networks, NLP, computer vision, context engineering, retrieval-augmented generation (RAG), and modern agent toolchains with Azure OpenAI, Gemini + ADK, and MCP.

I develop applied AI systems that balance technical rigor with tangible business value, including sentiment analysis pipelines, deep-learning classifiers, and automated analytics workflows. With an MBA and background in economics, I translate complex AI concepts into data-driven decisions and strategic insights. I am known for problem-solving, innovation, and bridging AI engineering with business outcomes.

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Language

English
Fluent

Work Experience

Add your work experience history here.

Education

Post Graduate Program in Artificial Intelligence and Machine Learning at The University of Texas at Austin – McCombs School of Business
January 11, 2030 - December 29, 2025
Generative AI for Business with Microsoft Azure OpenAI at Great Learning
January 11, 2030 - December 29, 2025
5-Day AI Agents Intensive at Google & Kaggle
January 1, 2025 - January 1, 2025

Qualifications

Master of Business Administration (MBA) in International Business
January 11, 2030 - December 29, 2025
Bachelor’s Degree in Economics
January 11, 2030 - December 29, 2025
Microsoft Certified: Azure AI Fundamentals (AI-900)
January 11, 2030 - December 29, 2025
Google & Kaggle — 5-Day Generative AI Intensive Course
January 1, 2025 - January 1, 2025
AWS Certified Machine Learning – Specialty (Practice Exam & Training)
January 11, 2030 - December 29, 2025
Udemy — Tableau 2022 A–Z: Hands-On Training for Data Science
January 11, 2030 - December 29, 2025
Udemy — AWS Certified Machine Learning Specialty – Hands-On Training
January 11, 2030 - December 29, 2025

Industry Experience

Software & Internet, Professional Services, Financial Services, Education, Government, Media & Entertainment