Building and deploying AI systems for real environments. Focused on vision models, language models, and large scale data processing.
Based in Buenos Aires, Argentina
Artificial Intelligence Engineering student at the University of San Andrés (UdeSA).
I design and deploy AI systems for security, healthcare, and industrial environments.
I work with computer vision, language models, and multimodal pipelines for large scale data.
Research Assistant – LiNAR, UdeSA (2025–Present)
- Developing a vision model for non-invasive embryo assessment using time-lapse imaging and Masked Autoencoders.
Senior Data Scientist – SOFLEX (2025–Present)
- Trained language models for Argentine security and incident reporting.
- Built a national-scale intelligence platform processing 200M emergency records with fast response.
AI Consultant and Lead – Papelera San Andrés de Giles (2025–Present)
- SKU classification pipeline using OCR and visual embeddings with 99.8% accuracy in production.
- Real-time object detection on production lines using YOLOv8.
AI and ML Lead – UK University (2025)
- Reduced AI prototype development time from one week to one day.
- Built intent classifier for large-scale lead flow and automated course production workflows.
AI Engineer – Notimation (2023–2024)
- Introduced RAG and agent architectures, improving efficiency and deployment speed.
- Languages: Python, C/C++, Java, JavaScript, TypeScript, CUDA
- Machine Learning: PyTorch, TensorFlow, PyTorch Geometric, YOLO, LangChain
- Infrastructure: Docker, Kubernetes, AWS, GCP, SQL, DynamoDB, Cassandra
- B.Sc. Artificial Intelligence Engineering – UdeSA (2022–2027)
- 95% merit scholarship. GPA 8.67/10
LinkedIn: linkedin.com/in/lebrero-juan-francisco
GitHub: github.com/frizynn