AI Engineering at Universidad de San Andres · Data Scientist at Mercado Libre

Ignacio Schuemer

I am driven by the idea that artificial intelligence can become a practical tool for solving meaningful problems. I like building systems that connect research with real applications, combining curiosity, engineering, and a focus on impact. Through projects, research, and industry work, I try to turn technical ideas into useful tools.

Experience

Data Scientist

2026 - Present

Mercado Libre

Optimization and training of LLMs for tasks inside the Mercado Libre ecosystem, including pipelines for distributed LLM training.

Research Assistant

2025 - 2026

Universidad de San Andres

Synthetic photorealistic dataset generation with automated capture and labeling for future YOLO training, combining NVIDIA Isaac Sim, ROS2, and drone navigation simulation.

Research Assistant

2024 - 2026

Universidad de San Andres and Northwestern University

Autonomous system classification across the Internet using LLMs, machine learning, and web data collection.

Teaching Assistant

2024 - 2025

Computer Architecture and Operating Systems

Supported students on computer systems fundamentals, memory management, concurrency, C, assembly, Linux, and practical problem solving.

Projects

Football Commentator

2025

Real-time automatic commentary from a modified Google Research Football simulation using event extraction, LLM generation, and Coqui TTS.

  • NLP
  • TTS
  • gRPC
  • Distributed Systems
  • PyTorch

Wildlife Monitoring with Thermal Imaging

2024

Automated wildlife detection from RGB and thermal drone imagery using YOLOv5 and YOLOv11 for a computer vision course project.

  • Computer Vision
  • YOLO
  • Deep Learning

SUV Price Prediction for Mercado Libre

2024

Price estimation for SUV listings using machine learning models, including XGBoost and deep learning baselines.

  • Machine Learning
  • XGBoost
  • Deep Learning

Voice Analysis Research

2024

Experimental protocol and signal processing pipeline for vocal samples, including Python filtering and neural denoising with DeepFilterNet.

  • Signal Processing
  • Python
  • DeepFilterNet

Awards

  • First place, HackITBA 2025 - Sustainability category
  • First place, UIA and Siemens Hackathon 2025
  • Second place, AI E-Commerce Challenge by Trafilea, AWS, and Mutt Data
  • Third place, Quantum Jam Hackathon by ITBA and IBM Quantum

Education

Bachelor of Engineering in Artificial Intelligence

Universidad de San Andres, 2022 - 2026. GPA 8.96/10.

Technician in Electronics

EEST No. 6, 2015 - 2021. GPA 9.35/10.

Skills

  • Python
  • PyTorch
  • Scikit-Learn
  • OpenCV
  • XGBoost
  • LLMs
  • Computer Vision
  • ROS2
  • Isaac Sim
  • C
  • C++
  • Java
  • PostgreSQL
  • MongoDB
  • Linux