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Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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rrequeena/README.md

Hey there 🤝! I'm Patricio Requena 🤖💻

LinkedIn Twitter Github My blog Steam

I'm an Ecuadorian AI / Machine Learning Engineer, passionate about creating and learning about data products, applying artificial intelligence techniques, and Generative AI Models.

Typing SVG

I have over 4 years of experience designing and deploying AI solutions and data products, ranging from search and personalization systems to AI applications, utilizing scalable pipelines, cloud platforms, and machine learning engineering.

Techonologies 🔧

Python SQL FastAPI Docker PyTorch scikit-learn Pandas NumPy

Professional Experience

Data Scientist — LATAM Airlines

Contract via Thoughtworks
Remote · Jul 2025 – Present

  • Engineering AI solutions on Google Cloud Platform (GCP) to support airline operations and decision-making.
  • Designing and deploying data-driven services with Python and FastAPI, ensuring scalability and robustness.
  • Collaborating with business and technical teams to align solutions with operational needs.

Machine Learning Engineer — GenAI Team, Rappi

Remote · Oct 2024 – Jun 2025 (9 mos)

  • Developed a Generative AI platform to enhance business processes and democratize AI tool usage across technical and non-technical teams.
  • Built and deployed microservices with FastAPI for real-time inference and integration.
  • Delivered solutions leveraging Python, FastAPI, and modern ML ops practices.

Data Scientist — GenAI Team, Rappi

Remote · Nov 2023 – Oct 2024 (1 yr)

  • Deployed microservices with FastAPI to deliver Generative AI solutions addressing key business challenges.
  • Applied Natural Language Processing (NLP) techniques for information extraction and conversational AI use cases.
  • Collaborated with cross-functional teams to integrate AI products into customer-facing services.

Data Scientist — Search & Personalization, Rappi

Remote · July 2021 – Nov 2023 (2 yrs+)

  • Worked on recommendation projects in the CPG (Customer Packaged Goods) team.
  • Built data pipelines using Apache Airflow to execute different projects.
  • Worked with large-scale data pipelines, A/B testing, and real-time personalization systems.
  • Delivered measurable improvements in user engagement and conversion metrics across the platform.

Data Science Mentor — TripleTen (Bootcamp)

Remote · May 2024 – June 2025

  • Asynchronously guide and elevate student projects by providing expert reviews on Data Science concepts such as AB Testing, Visualization, and Statistical Analysis, enhancing learning outcomes and project quality.
  • Spearhead the adoption of best practices in data science and analytics among students by critiquing and suggesting improvements to their code, thereby nurturing future data professionals.
  • Enhance student understanding and application of data science techniques through detailed feedback and insights, contributing to their competency in handling real-world data challenges effectively.

Freelance Data Scientist

Remote · June 2021 – June 2022

  • Delivered data solutions for small businesses and startups, including predictive models and analytics dashboards.
  • Developed end-to-end machine learning workflows in Python (scikit-learn, TensorFlow) and deployed using cloud services.
  • Worked directly with clients to translate business needs into actionable AI/ML solutions.
Github Stats 📊

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  1. rag-api rag-api Public

    An API project for Retrieval-Augmented Generation (RAG) using OpenAI's models. This service enables document upload, storage, and intelligent querying using Large Language Models (LLMs).

    Python

  2. ToM ToM Public

    Proyecto ToM: Tomatoes Monitor, a deep learning project built using the object-detect API from Tensorflow. The model, using computer vision, detects tomato the growth stage (Flower, green and red).

    Jupyter Notebook 2 1

  3. ml-water-potabilty ml-water-potabilty Public

    Machine Learning project built to practice and improve coding and deployment skills using python, scikit-learn, jupyter-notebooks, and some visualization packages.

    Jupyter Notebook 6 3