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Rodrigo Asis

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Cordoba, Argentina
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Jobs verified_user 0% verified
  • Ithreex Global
    AI Consulting
    Ithreex Global
    Jan 2026 - Apr 2026 (4 months)
    I led the design and development of a Model Context Protocol (MCP) server for a major shopping center management company, enabling natural language interaction with complex Business Intelligence metrics. Faced with the challenge of processing massive amounts of unstructured JSON, I implemented a cache warming architecture using Polars for data cleansing and transformation during server startup, persisting the information in highly compressed Parquet files. This strategy eliminated network latency and ensured the AI agent had immediate access to normalized historical data without relying on constant external requests.

    To guarantee the accuracy of performance calculations (sales per square meter, averages per brand, and revenue), I
  • Disia Technologies
    AI Engineer
    Disia Technologies
    Jan 2025 - Aug 2025 (8 months)
    I led the development of prototypes based on Large Language Models (LLMs) using Python, FastAPI, and LangChain as the core technology stack. I specialized in the end-to-end development of demos and minimum viable products (MVPs), managing the entire software lifecycle: from architectural design in development environments to containerization with Docker and deployment on Google Cloud Platform (GCP).

    During this period, I developed a chatbot for a luxury shopping center in Madrid, where I implemented a Recall Augmented Generation (RAG) architecture to ensure accurate responses based on dynamic data, integrating a frontend developed in React. I also led a generative AI text project with custom styles using fine-tuning techniques, c
  • Igrowker Junior IT Training
    Backend Developer
    Igrowker Junior IT Training
    Jan 2024 - Dec 2024 (1 year)
    I develop web apps from scratch for tourism and gastronomy services, aiming to create solutions for small businesses. My expertise lies in developing RESTful APIs with Python and various frameworks such as Django and FastAPI, while simultaneously configuring and maintaining relational (PostgreSQL) and non-relational (MongoDB) databases.
Projects (professional or personal) verified_user 0% verified
  • Personal
    Recommendation Agent
    Personal
    Aug 2025 - Current (1 year 3 months)
    I engineered an AI-driven semantic recommendation engine and its cross-platform Flutter frontend, designing a hybrid multi-database architecture to match natural language user intents with enriched local business data. On the backend, I built data pipelines to ingest foundational profiles via the Google Places API, which I then processed using Google Gemini to extract abstract features (such as lighting, music type, and specific "vibes") and generate high-dimensional vector embeddings. To serve these insights efficiently, I decoupled the data layer: I implemented Pinecone for low-latency vector search and cosine similarity matching, utilized Supabase (PostgreSQL) to guarantee consistent relational storage for user authentication and transac