Anderson Morillo

AI Engineer · NLP Researcher

Anderson Morillo

Cartagena, Bolívar, Colombia

I build NLP and AI systems end to end — from RAG-based chatbots and fine-tuned transformers to real-time data platforms — and ship them with Docker, FastAPI, and cloud infrastructure.

Universidad Tecnológica de Bolívar · COTECMAR

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Interests

  • Natural Language Processing and LLMs
  • Retrieval-augmented generation (RAG)
  • Conversational AI
  • Production ML (FastAPI, Docker, ONNX)
  • Real-time data platforms and ETL

Experience

  1. AI Engineer

    April 2026 – present

    COTECMAR

    Leading scalable deployment of a virtual assistant with user-trained local LLMs, combining on-premise fine-tuning and RAG for specialized technical documentation. Designed a work-order management system with operational KPI tracking.

  2. Research Assistant

    July 2024 – present

    Universidad Tecnológica de Bolívar

    Hallucination-detection evaluation pipelines; fine-tuning transformers (BERT, DeBERTa) for semantic framing and persuasion detection with ONNX export; reproducible experimentation with PyTorch, Hugging Face, and scikit-learn.

  3. AI Architecture Consultant

    January 2026

    Freelance

    AI architecture for a multi-city meteorological-hydraulic monitoring platform (Montería, Cartagena, Medellín), including real-time ingestion and early-warning alerts.

  4. AI Engineer

    September 2025 – December 2025

    COTECMAR

    Domain-specific conversational AI with LLMs and RAG grounded in internal technical documentation; FastAPI backends and n8n workflow automation.

  5. Software Engineer

    July 2024 – August 2025

    Del Laboratorio al Campo

    Meteorological data platform on TimescaleDB with REST APIs, Streamlit dashboards, and ETL for high-frequency IoT sensor streams.

  6. Student Research Assistant

    July 2022 – June 2024

    Universidad Tecnológica de Bolívar

    Multilayer NLP architectures for semantic relationship detection and lexical framing; data pipelines with Python, Pandas, and Jupyter.

  7. IT Infrastructure Intern

    September 2023 – March 2024

    ESENTTIA

    Scalable ETL in Azure Data Factory and Databricks (PySpark); Spark SQL optimization and Azure lakehouse documentation.

Education

  • Master's degree, Artificial Intelligence

    Universidad Tecnológica de Bolívar

    August 2024 – June 2026

  • Systems and Computer Engineering

    Universidad Tecnológica de Bolívar

    August 2019 – March 2024

Skills

AI / NLP

  • LLMs
  • RAG
  • Hugging Face
  • PyTorch
  • BERT/DeBERTa
  • Prompt engineering

Backend & APIs

  • Python
  • FastAPI
  • Docker

Data

  • TimescaleDB
  • Databricks
  • PySpark
  • Azure Data Factory
  • Pandas

Cloud & tooling

  • AWS
  • Azure
  • Django
  • Streamlit
  • n8n
  • Git

Certifications

  • AWS AI Practitioner Challenge
  • Marco web Django

Languages

  • Spanish (native or bilingual)
  • English (full professional)