Isabel Chaves
Senior Machine Learning Engineer at Sword Health
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolIsabel Chaves is a Senior Machine Learning Engineer with nine years of experience building and shipping ML solutions from research to production across ecommerce and edtech. She has led generative AI projects and collaborated directly with executives and AWS to assess feasibility and drive implementation, while also designing and analyzing multiple A/B tests to boost user engagement. At FARFETCH she contributed to a large-scale ranking engine and production pipelines, applying learning-to-rank, Kafka, Docker and Cassandra in multi-machine environments. Isabel pairs hands-on engineering—signal processing and C experience from an early ECG project—with a product-minded approach, mentoring cross-functional teams and introducing practices like Reading Clubs to spread technical knowledge. Based in Madrid, she blends strong experimental design and deployment expertise with a curiosity for how systems work, informed by formal training in medical computing, neurophysiology and data modeling.
9 years of coding experience
7 years of employment as a software developer
Master in Modeling Data Analysis and Decision Support Systems Data Processing, Master in Modeling Data Analysis and Decision Support Systems Data Processing at FEP U. Porto – Economics and ManagementLicentiate degree Neurophysiology, Licentiate degree Neurophysiology at School of Health Technologies of Porto (ESTSP)Licentiate degree Medical Computing and Instrumentation Engineering, Licentiate degree Medical Computing and Instrumentation Engineering at Instituto Superior de Engenharia do Porto
English, Portuguese, Spanish
Stackoverflow
31reputation
965reached
1answer
0questions
Github Skills (12)
bert-embeddings8
amazon-sagemaker6
vector-database6
nodes6
large-language-models6
langchain6
machine-learning4
natural-language-processing4
tf-idf4
information-retrieval3
graph3
knowledge-graph2
Programming languages (2)
Github contributions (5)
isabelchaves/BiGIT
Apr 2020 - Feb 2021
BiGIT is a graph-based method capable of transferring information from and to different nodes on a bipartite graph. This project contains BiGIT combined with several work representation methods since it was created for experimentation purposes.
Contributions:57 commits, 1 PR, 22 pushes in 9 months
representationgraph-basedexperimentationmethodnodes
isabelchaves/Meetups
Jan 2021 - Jun 2021
All meetup contents
Contributions:2 pushes, 2 branches in 4 months
contents
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