ES

Hi, I'm Alejandro Yáñez

Machine Learning Engineer

Specialized in computer vision and in taking AI into production.

Models, products and experiments I've built.

NeumonIA

2026

Progressive web app that classifies chest X-rays with AI directly in the browser using ONNX Runtime Web, without sending medical data to a remote server.

  • React
  • TypeScript
  • TailwindCSS
  • ONNX
  • Python
  • Ultralytics
  • Vite
Live demo GitHub

Anxiety Detection in Classrooms

2026

Computer vision system based on YOLO11-pose to identify anxious states through student movement patterns in classrooms at Universidad del Bío-Bío.

  • Python
  • YOLO11
  • PyTorch
  • OpenCV
  • Roboflow

Valorant Character Detection

2025

Practical computer vision project based on YOLO11 for detecting characters of a specific role in the Valorant video game using a custom dataset.

  • Python
  • YOLO11
  • PyTorch
  • OpenCV
  • Roboflow
GitHub
View all projects

From research to industry.

  1. Computer Vision Specialist

    Oct 2026 — Present

    TTC · Concepción, Chile

    Full-time
    • Python
    • PyTorch
    • CVAT

  2. Software Engineering Teaching Assistant

    Mar 2025 — Jan 2026

    Universidad del Bío-Bío · Concepción, Chile

    Part-time
    • Technical mentoring and code reviews for semester-long projects.
    • Evaluation of deliverables ensuring compliance with functional requirements and Clean Code.
    • Clean Code
    • SOLID
    • JavaScript
    • Express
    • PostgreSQL
    • Git

  3. AI Engineer

    Jan 2025 — Mar 2025

    MIGTRA · Santiago, Chile

    Internship
    • End-to-end generative AI system with OpenAI (gpt-4o-mini) and client-contextualized prompt engineering.
    • Unstructured data pipeline and parallel LLM orchestration, generating in ~25 s the 2–3-line observations per page previously written by hand (20–30 pages per report).
    • Full stack: FastAPI REST API and React, TypeScript, and Vite UI with human-in-the-loop validation.
    • Python
    • FastAPI
    • Vite
    • React
    • TypeScript
    • OpenAI API
    • Prompt Engineering
    • Git

  4. Junior Data Scientist

    Nov 2024 — Mar 2025

    Universidad del Bío-Bío · Concepción, Chile

    Part-time
    • ML algorithms for combinatorial optimization problems (TSP).
    • Data lifecycle management.
    • Python
    • Pandas
    • Scikit-learn
    • Machine Learning

  5. Software Engineer

    Nov 2023 — Feb 2024

    City Lab Bíobío · Concepción, Chile

    Internship
    • Augmented Reality mobile app for 3D urban visualization.
    • REST API for streaming 3D assets from the cloud.
    • Unity
    • C#
    • Python
    • FastAPI
    • AWS S3
    • Git

The stack I use to train, ship and serve models.

  • 01 Machine Learning

    • PyTorch
    • TensorFlow
    • Scikit-learn
    • Ultralytics YOLO
    • OpenCV
    • OpenAI API
    • Pandas

  • 02 Languages

    • Python
    • TypeScript
    • JavaScript
    • C++
    • Java
    • C#
    • SQL

  • 03 Backend & Data

    • FastAPI
    • Express
    • Node.js
    • NestJS
    • PostgreSQL
    • Supabase
    • Prisma ORM

  • 04 Infrastructure

    • Docker
    • AWS
    • Cloudflare
    • Vercel
    • CI/CD

  • 05 Frontend

    • React
    • Next.js
    • Astro
    • TailwindCSS
    • Vite

  • 06 Tools

    • Git
    • Roboflow
    • Postman
    • Unity

If you made it this far, let's talk.