Andrés Marafioti
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Andrés Marafioti Email & Phone Number

Multimodal Research Lead at Hugging Face
Location: Bern, Berne, Switzerland 9 work roles 3 schools
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Current company
Role
Multimodal Research Lead
Location
Bern, Berne, Switzerland
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Who is Andrés Marafioti? Overview

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Andrés Marafioti is listed as Multimodal Research Lead at Hugging Face, a with 599 employees, based in Bern, Berne, Switzerland. AeroLeads shows a matched LinkedIn profile for Andrés Marafioti.

Andrés Marafioti previously worked as Machine Learning Research Engineer at Hugging Face and Senior Machine Learning Engineer at Unity. Andrés Marafioti holds Doctor Of Philosophy - Phd, Electrical And Electronics Engineering from Universität Für Musik Und Darstellende Kunst Graz.

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About Andrés Marafioti

With over 9 years of experience in machine learning research and engineering, I am passionate about developing and deploying innovative ML solutions that can enhance human lives and interactions. My field of expertise is audio and speech, but I also have experience with computer vision and NLP. I am currently working as a senior machine learning engineer at Unity, where I am part of the Safe Voice project, a cutting-edge product that aims to combat in-game toxicity and foster positive multiplayer experiences.

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Hugging Face
Hugging Face
Multimodal Research Lead
Berne, Switzerland
Website
Employees
599
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9 roles

Andrés Marafioti work experience

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Machine Learning Research Engineer

Current

Bern, Berne, Switzerland

Jun 2024 - Present

Senior Machine Learning Engineer

Zurich, Switzerland

🎮 Senior MLE | Building safer gaming communities through Unity's Safe Voice product. 🌐🚀 Playing a key role in developing and implementing ML solutions to combat in-game toxicity and enhance multiplayer experiences.🔬 Joined the project during its early prototype phase and played a pivotal role in shaping its growth through strategic planning and coding.🌟 Proudly contributed to the journey of reaching open beta status, promoting safer and more enjoyable gaming environments.

Jan 2022 - May 2024

Machine Learning Engineer

Aubonne, Vaud, Switzerland

In this temporary full-time position, I lead the development of a multi-sensor vision system to tackle the creation of a dataset with hundreds of videos from ex-vivo labs. I applied computer vision algorithms to calibrate stereo cameras for 3D vision and projected data from the third sensor to the 3D space. Finally, I Implemented and evaluated two ML algorithms aimed at being used in the DaVinci robot.

Aug 2021 - Nov 2021

Postdoctoral Researcher

Bern, Berne, Switzerland

Research on computer vision algorithms for surgical scene perception published on MICCAI.Mentored three students from ETH, UniBE, and UNTREF.Supervisor: Prof. Raphael Sznitman

Dec 2020 - Nov 2021

Phd Researcher

Vienna, Austria

Developed machine learning algorithms for audio generation. Published on industry-leading conferences such as ICML and Q1 journals such as IEEE's TSP, JSTSP, and TASLP.Organized the coding challenge for the Austrian Academy of Sciences' AI summer school. Member of the Machine learning, and the Mathematics and signal processing group.Thesis Advisor: Dr. Robert HöldrichCo-advisor: Dr. Piotr MajdakProject Leader: Dr. Nicki Holighaus

Sep 2017 - Nov 2020

Software Engineer

During my tenure as a Software Engineer within a six-member Agile team, I significantly contributed to the development of a consumer application. My key responsibilities included:Architecting and developing critical components, enhancing both functionality and user engagement for a consumer-facing application.Leading the GUI design and implementation using PySide (Qt) within an MVP framework, which resulted in a markedly improved user experience.Developing and maintaining robust backend modules, mainly in Python, and managing tasks such as database operations (SQL) and network connectivity (C++ and Python's TCP sockets).Overseeing database schema design and optimization, ensuring high standards of data integrity and system performance.Refactoring legacy code and introducing new features, effectively balancing the need for innovation with system stability and reliability.This role demonstrated my versatility in full-stack development, encompassing both user interface design and intricate backend functionalities, substantially contributing to the application's development and overall performance.

Sep 2015 - Aug 2017

Teaching Fellow - Digital Signal Processing

In this dynamic role, I led the development and delivery of comprehensive lectures and coding assignments, focusing primarily on Python, Matlab, and integral software tools such as Matplotlib, Scikit-learn, and NumPy. My responsibilities included creating engaging course materials that not only introduced students to the fundamentals of digital signal processing but also provided hands-on experience with these industry-standard tools. I was deeply involved in grading assignments, offering personalized feedback, and guiding students through complex concepts and practical applications.My promotion to Teaching Fellow in July 2016, after serving as a Teaching Assistant for two years, was a recognition of my growing expertise and increasing responsibilities. In this advanced role, I further honed my skills in student mentorship and the integration of cutting-edge software tools in education, contributing significantly to the academic and professional growth of my students.

Jul 2014 - Jul 2017

Teaching Assistant - Laboratory Of Electronics

I worked preparing the laboratories for lectures. This included calibrating the necessary equipment. I also taught students how to use oscilloscopes, signal generators, distorsimeters and LCR meters and supervised the development of printed circuit board.

Jul 2012 - Jul 2013
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3 education records

Andrés Marafioti education

Doctor Of Philosophy - Phd, Electrical And Electronics Engineering

Universität Für Musik Und Darstellende Kunst Graz

Graduated with distinction Thesis: Exemplar-based audio inpainting in musical signals

Sound Engineer, Acoustics

Activities and Societies: Part of the Music Information Retrieval research group.Thesis: "Automatic identification of acoustical musical.

FAQ

Frequently asked questions about Andrés Marafioti

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What company does Andrés Marafioti work for?

Andrés Marafioti works for Hugging Face.

What is Andrés Marafioti's role at Hugging Face?

Andrés Marafioti is listed as Multimodal Research Lead at Hugging Face.

Where is Andrés Marafioti based?

Andrés Marafioti is based in Bern, Berne, Switzerland while working with Hugging Face.

What companies has Andrés Marafioti worked for?

Andrés Marafioti has worked for Hugging Face, Unity, Intuitive, Artorg Center For Biomedical Engineering Research, and Austrian Academy Of Sciences.

Who are Andrés Marafioti's colleagues at Hugging Face?

Andrés Marafioti's colleagues at Hugging Face include Daniël De Kok, Nithin Chowdary, Mertcann Trust, Cyril Vallez, and Agustín Piqueres Lajarín.

How can I contact Andrés Marafioti?

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What schools did Andrés Marafioti attend?

Andrés Marafioti holds Doctor Of Philosophy - Phd, Electrical And Electronics Engineering from Universität Für Musik Und Darstellende Kunst Graz.

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