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Hi, I'm Gabriela García Cárdenas, an innovative AI/ML Engineer with hands-on experience building intelligent systems like Retrieval-Augmented Generation chatbots and deploying GPT-based models in real-world applications. I have a strong passion for developing NLP solutions for healthcare and legal sectors, leveraging tools like spaCy, Pinecone, and Elasticsearch. I enjoy working with agile teams and bringing AI projects to life with modern development practices such as CI/CD and Test-Driven Development. I am comfortable designing AI platforms using Python, RESTful APIs, and MongoDB, and deploying them through Docker and AWS, always focusing on improving model accuracy and user outcomes.…Hi, I'm Gabriela García Cárdenas, an innovative AI/ML Engineer with hands-on experience building intelligent systems like Retrieval-Augmented Generation chatbots and deploying GPT-based models in real-world applications. I have a strong passion for developing NLP solutions for healthcare and legal sectors, leveraging tools like spaCy, Pinecone, and Elasticsearch. I enjoy working with agile teams and bringing AI projects to life with modern development practices such as CI/CD and Test-Driven Development. I am comfortable designing AI platforms using Python, RESTful APIs, and MongoDB, and deploying them through Docker and AWS, always focusing on improving model accuracy and user outcomes.

Gabriela García Cárdenas

AI Engineer, Developer, AI Prompt Engineer

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Hi, I'm Gabriela García Cárdenas, an innovative AI/ML Engineer with hands-on experience building intelligent systems like Retrieval-Augmented Generation chatbots and deploying GPT-based models in real-world applications. I have a strong passion for developing NLP solutions for healthcare and legal sectors, leveraging tools like spaCy, Pinecone, and Elasticsearch. I enjoy working with agile teams and bringing AI projects to life with modern development practices such as CI/CD and Test-Driven Development. I am comfortable designing AI platforms using Python, RESTful APIs, and MongoDB, and deploying them through Docker and AWS, always focusing on improving model accuracy and user outcomes.…Hi, I'm Gabriela García Cárdenas, an innovative AI/ML Engineer with hands-on experience building intelligent systems like Retrieval-Augmented Generation chatbots and deploying GPT-based models in real-world applications. I have a strong passion for developing NLP solutions for healthcare and legal sectors, leveraging tools like spaCy, Pinecone, and Elasticsearch. I enjoy working with agile teams and bringing AI projects to life with modern development practices such as CI/CD and Test-Driven Development. I am comfortable designing AI platforms using Python, RESTful APIs, and MongoDB, and deploying them through Docker and AWS, always focusing on improving model accuracy and user outcomes.

Available to hire

Hi, I’m Gabriela García Cárdenas, an innovative AI/ML Engineer with hands-on experience building intelligent systems like Retrieval-Augmented Generation chatbots and deploying GPT-based models in real-world applications. I have a strong passion for developing NLP solutions for healthcare and legal sectors, leveraging tools like spaCy, Pinecone, and Elasticsearch.

I enjoy working with agile teams and bringing AI projects to life with modern development practices such as CI/CD and Test-Driven Development. I am comfortable designing AI platforms using Python, RESTful APIs, and MongoDB, and deploying them through Docker and AWS, always focusing on improving model accuracy and user outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Spanish; Castilian

Fluent

English

Advanced

German

Beginner

Work Experience

Software Engineer at Biznetcircle S.R.O.

January 1, 2024 - Present

Collected, preprocessed, and curated large-scale datasets from German legal texts using web scraping tools like Beautiful Soup and Selenium, transforming unstructured content into structured format for AI Platform Development. Developed a Retrieval-Augmented Generation (RAG) application with chatbot functionality, Q&A systems, and workflow automation, using RESTful APIs to serve vector search via GPT-based models. Built Python-based data pipelines integrated with MongoDB to maintain data quality and relevance in scalable solutions for Machine Learning applications. Deployed solutions with Docker Image Management and Cloud Deployment on AWS, executing Feasibility Studies and Technical Pilots in NLP projects. Applied CI/CD Pipelines and Test-Driven Development in Large-scale Software Development to deliver Deep Learning models using Evaluation Metrics and Optimization Algorithms. Configured services and applied system security practices in Linux, following Agile Methodology and Software

Junior Software Developer at Phi Technologies S.R.O.

July 31, 2023 - July 22, 2025

Developed web crawlers using Python and Scrapy to classify medical concepts by applying Data Structures and Artificial Intelligence integrated with Elasticsearch for scalable document indexing. Built backend infrastructure in Software Engineering projects using TypeScript, enabling API Integration with vector databases and supporting Prompt Engineering workflows across multilingual chatbot systems. Executed NLP pipelines using spaCy and OpenAI APIs for sentence segmentation across seven languages, ensuring Software Documentation and Readable Code practices through Unit Testing and Functional Programming. Deployed LLM applications with supervised fine-tuning using Prompt Engineering, applying Analytical Thinking to improve performance in Cloud Infrastructure environments. Collaborated in SDLC Knowledge-based teams applying Code Reviews, and Pair Programming to ensure Technical Writing accuracy and compliance in document processing projects. Delivered Project Support for AI chatbot devel