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Portrait of Sebastian Franco

Sebastian Franco Gomez

ML Engineer at Expert Intelligence

Machine-learning engineer turned AI engineer. Lightning-talk presenter at Pereira Tech Day 2024 on understanding modern ML architectures and styles.

Related events

Meetups and Pereira Tech Days linked to these talks.

Talk history — Sebastian Franco Gomez

Most recent first.

  1. 2026

    TalkES

    How to become an AI Engineer in 2026

    The AI Engineer role has exploded over the last few years thanks to LLMs, but it is still in its earliest stage — a hybrid between Software Developer and ML Engineer that is particularly attractive for pivoting from other industry roles. We dig into what the role used to be and all the possibilities it can be today, and how to pivot into the AI world without a graduate degree, guided by someone who has worked across traditional ML and Generative AI Engineering.

    By: Sebastian Franco Gomez

  2. 2026

    TalkES

    Inside OpenClaw: technical details, field testing, and lessons learned

    Sebastián goes under the hood: technical details of how OpenClaw hangs together, what showed up when he put it through real tests, and the use cases — and friction points — that only appear once you leave the happy path and run agents against your own stack.

    By: Sebastian Franco Gomez

  3. 2025

    PanelES

    What is a hackathon?

    A conversatorio with hackathon winners on what to expect and how to organize one in Pereira.

    By: Sebastian Franco Gomez

  4. 2024

    LightningESRecording

    At what point did we stop understanding what happens inside Machine Learning? An intuition about architectures and styles of modern ML

    At what point did we stop understanding what happens inside Machine Learning? An intuition about architectures and styles of modern ML

    By: Sebastian Franco Gomez

  5. 2024

    TalkES

    Session at Revolutionizing deep learning: powering models with limited data

    Talk by Sebastian Franco Gomez at the Pereira Tech Talks meetup “Revolutionizing deep learning: powering models with limited data”.

    By: Sebastian Franco Gomez