Fernando Amat

About Fernando Amat

Dynamic problem-solver with PhD and 10+ years of experience in machine learning research, leadership and systems design applied to multiple domains such as biomedical imaging, neuroscience, recommendation systems and video editing and understanding. Design, develop and implement algorithms and software used from research to production. Published in top-tier scientific journals as well as featured in mass media outlets. Manager and tech lead experience. Looking for challenging machine learning problems with interesting applications.Specialties: recommendation systems, foundational models, prompt engineering, multi-arm bandits, machine learning, computer vision, deep learning, optimization, real-time processing, A/B testing, Python, Java, Scala, Pytorch, Spark, C/C++, CUDA GPU.

Experience

1. Staff Research Scientist

   Netflix

   Dec 2024 — Present · Los Gatos, CA, US

   Tech Lead for new Recommender Systems Explorations based on LLMs applications.

Education

• Stanford University

  PhD, Electrical Engineering

  2004 — 2010

• Universitat Politècnica de Catalunya

  Master's Degree, Mathematics

  1999 — 2004

• Jesuit School at Casp 25

  High School Diploma

  1995 — 1999

• UPC - ETSETB TelecomBCN

  Master's Degree, Telecommunication Engineering

  1999 — 2004

Skills

• Spark
• Statistical Modeling
• Lifesciences
• Electron Microscopy
• Cuda
• Machine Learning
• Algorithms
• Life Sciences
• Statistical Learning
• Image Processing
• C++
• Medical Imaging
• Software Development
• Latex
• Signal Processing
• Pattern Recognition
• Electrical Engineering
• Data Analysis
• Microscopy
• Artificial Intelligence
• Apache Spark
• Matlab
• Programming
• Optimization
• Computer Vision
• Big Data
• Scala
• Data Mining
• Bioimage Informatics
• Research