Joaquín Figueroa

Joaquín Figueroa

Computer Engineer · AI Engineer

I am the technical lead of the ICAI Platform at Universidad de Chile, an initiative bringing scientific knowledge to everyone through artificial intelligence.

I design agents, RAG systems and AI architectures, and what I enjoy most is explaining them so anyone can understand.

  • Santiago, Chile
  • Spanish · English C1 · basic Chinese
  • Graduated with highest honors

Projects

  1. ICAI Platform

    Universidad de Chile · Coordinator

    A system to democratize Universidad de Chile's scientific output.

    Lead
    technical lead of the project
    Coordinator
    of the ICAI AI Lab
    • I define the architecture, stack and technical roadmap.
    • I design LLM agents and RAG systems over the University's research.
    • API implementation and GPU infrastructure management.
    • Team coordination on priorities, tasks and follow-up.

    Technologies: LLMs · RAG · AI Agents · Fine-tuning · GPU infra

  2. Chilean2Sign

    FONDECYT project · Thesis · CLEI paper

    Spanish to Chilean Sign Language video translator using video diffusion and multi-condition tokenization.

    1st
    to test a new Chilean dataset
    CLEI
    paper presented in 2026
    • I trained a generative video diffusion system that turns pose sequences into sign videos.
    • I trained a GPT-2 based text-to-pose model, tokenized through an autoencoder.
    • Part of this work was published in a paper presented at CLEI 2026.

    Technologies: PyTorch · GPT-2 · Diffusion · DWPose · HaMeR

  3. Presidential Debate

    Chilevisión · AI at scale

    Classification, clustering and refinement of citizens' questions for the presidential debate.

    8,000
    citizens' questions
    25 min
    to process them all
    • I filtered, clustered and refined real questions from citizens.
    • I parallelized inference on the NLHPC Leftraru supercomputer.

    Technologies: Qwen3 · Ollama · DBSCAN · K-Means · HPC

Journey

Tap each stop to see more

  1. Backend development for SmartSell.

    • Built three Django applications and their data models.
    • Implemented business logic for data integrity and scalability.
    • Wrote technical documentation for the team.
  2. Clinical Records project.

    • Developed APIs in InterSystems.
    • Built a mobile app to capture patient data.
    • Automated data migrations, reducing manual errors.
  3. Event management web application.

    • Gathered requirements and modeled the data.
    • Designed the interfaces and built the full-stack solution.
    • Researched international solutions and reached out to foreign companies.
  4. AI projects and new technology literacy.

    • Developed AI projects to automate processes.
    • Led architecture decisions and model selection.
    • Trained more than 500 people, including sessions in Talca and Concepción.
  5. Graduated as Computer Engineer with highest honors.

    • Thesis: Spanish to Chilean Sign Language translator with generative AI.
  6. Presented my paper at the Latin American Computing Conference.

    • Presented the research to an international audience.
  7. Technical direction of the ICAI Platform.

    • I define the architecture, stack and technical roadmap.
    • I develop LLM agents, RAG systems and GPU infrastructure.
    • I coordinate the team and track progress toward the goals.

CLEI 2026

From Santiago to Mexico to present my research.

CLEI 2026 Diffusion Model for Chilean Sign Language J. Figueroa, M. Yáñez, I. Sipiran, A. Aguilera Latin American Computing Conference · CLEI 2026

My thesis became a paper: I trained a diffusion model to generate Chilean Sign Language video and was the first to test COTRA-LSCh, a new Chilean corpus.

Teotihuacan, Mexico
Teotihuacan, Mexico

Skills

AI & software engineering

  • AI architectures & agents

    I design end-to-end LLM systems, from tool-using agents and multi-layer workflows to RAG systems.

  • Model training

    Fine-tuning and training of generative and vision models, such as diffusion, YOLO or GPT-2, and their evaluation with the right metrics.

  • Backend & infrastructure

    APIs and services in Django and FastAPI, Docker containers, and management of GPU and HPC servers to train and serve models at scale.

Soft skills

  • Communication & teaching

    I translate complex technical ideas for non-technical audiences. I have led many training sessions, remote and in person, some with up to 500 people watching live.

  • Technical leadership & product vision

    I have led multiple projects, both at the university and in professional settings, efficiently connecting what users and institutions need with feasible technical solutions.

  • Adaptability

    I adapt easily across domains, such as health, education, media and research, and across stacks, from web backends to state-of-the-art frontier models.

How I work

  • Documentation & traceability

    I work with Spec Driven Development (SDD) to keep the product traceable, always be clear on what is being built and develop in a structured way. In particular, I use OpenSpec.

  • Development with coding agents

    I prepare context, conventions and documentation so coding agents deliver correct, reviewable changes, faster and without losing control.

  • Metric-driven iteration

    I define how to measure success before building and validate each iteration with data (accuracy, video quality, latency), not intuition.

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