Francisco Kurucz
Lead Machine Learning Engineer at Catholic University of Uruguay (UCU)
Montevideo, Montevideo, Uruguay
Summary
🤩
Rockstar🎓
Top SchoolFrancisco Kurucz is a Lead Machine Learning Engineer with eight years of experience building and productionizing AI systems across MLOps, LLMs, computer vision, and forecasting. Based in Montevideo, he leads ML projects at Tryolabs, designing scalable pipelines, deploying fine-tuned LLMs with RAG and advanced prompting, and optimizing inference to cut operational costs. He also teaches software engineering and AI topics at Universidad Católica del Uruguay, bringing classroom-tested pedagogy to real-world projects. An active open-source contributor, Francisco has improved documentation and model integrations in the widely used Hugging Face Transformers repository, helping make state-of-the-art models more accessible. He co-founded ManuAR to turn manuals into interactive AR-guides and is a founding engineer at Kunstig Aero, applying real-time AI to air traffic control—showing a knack for translating research into domain-specific products. Certified as a Google Professional Machine Learning Engineer, he blends hands-on engineering with practical MLOps and cross-industry impact.
8 years of coding experience
6 years of employment as a software developer
Ingeniería, Ingeniería, Ingeniería, Ingeniería at Colegio Marista Juan Zorrilla de San MartínOther; Course, LLMs: Zero to (almost) Hero! - ECI 2024, Other; Course, LLMs: Zero to (almost) Hero! - ECI 2024 at Universidad de Buenos Aires (UBA)Ingeniería informática, Ingeniería informática at Universidad Católica del Uruguay 'Dámaso Antonio Larranaga'
Spanish, English, Japanese
Stackoverflow
1reputation
0reached
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Github Skills (10)
transformer10
machine-learning10
nlp10
python10
pre-trained-model10
documentation9
hub9
pytorch8
tensorflow8
jax8
Programming languages (6)
Github contributions (5)
huggingface/transformers
Nov 2022 - Dec 2022
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 17 PRs, 4 comments in 7 days
Contributions summary:Francisco primarily contributed to fixing documentation and linking issues related to various machine-learning models within the Hugging Face Transformers library. Their work involved correcting model configurations, code examples, and references to ensure the correct functionality and usability of models such as Data2VecText, Hubert, SwinV2, Table Transformer, and MT5. Furthermore, they addressed typos and model ID issues, improving the overall quality of the documentation and examples for other developers.
pythonbertspeech-recognitionstate-of-the-artflax
JuanFKurucz/transformers
Nov 2022 - Aug 2024
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:34 pushes, 33 branches in 1 year 8 months
pytorchnlptransformersartdeep-learning
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