Guillermo Hernández
Senior Machine Learning Engineer at Spotify
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolGuillermo Hernández is a Senior Machine Learning Engineer with 14 years of experience building scalable ML pipelines and production systems across finance and consumer products, currently working on AI foundational models for user representation at Spotify. He blends deep software engineering roots—Python backend, DevOps, workflow tooling—with applied ML for recommendations and personalization from his time leading Consumer Relevance teams at PayPal. Guillermo has a strong genomics and bioinformatics background, contributing full‑stack and backend improvements to prominent open-source projects like MultiQC and bcbio-nextgen, which informs his rigor for data quality and automation. His contributions to tooling such as CWL and logbook show a knack for hardening execution environments and integrating robust logging/Redis solutions. Comfortable across research, production, and infrastructure, he pairs academic training in computer science and deep learning with hands-on systems design. He’s equally at home optimizing Hadoop/bioinformatics pipelines as shipping large-scale recommendation models—an engineer who turns messy data ecosystems into reliable ML platforms.
14 years of coding experience
14 years of employment as a software developer
Deep Learning Nanodegree Deep Learning, Deep Learning Nanodegree Deep Learning at UdacityMaster of Science (M.Sc.) Hadoop-parallelising and process automation of the bcbio-nextgen bioinformatics pipeline, Master of Science (M.Sc.) Hadoop-parallelising and process automation of the bcbio-nextgen bioinformatics pipeline at Science For Life LaboratoryUPC Universitat Politècnica de Catalunya
English, Spanish, Catalan, Swedish
Github Skills (38)
data-visualizations10
unit-testing10
container10
docker10
python10
redis10
configuration-management10
command-line-interface10
data-visualisation10
workflow-engine10
dockers10
cicd10
parallel-processing10
workflow-description-language10
common-workflow-language10
Programming languages (13)
Github contributions (5)
bcbio/bcbio-nextgen
Oct 2014 - Oct 2015
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:30 commits, 8 PRs, 9 pushes in 1 year
Contributions summary:Guillermo made several contributions focused on improving the bcbio-nextgen pipeline. They modified the configuration and implementation of parallel processing tools like `pbgzip`, addressing issues with its enablement and usage. Additionally, the user worked on integrating Travis CI for automated testing and incorporating FastQC improvements. Finally, they made documentation changes to better explain how to enable and configure pbgzip.
scalablecallingrnaseqvariant-callinggenomics
MultiQC/MultiQC
Sep 2015 - Sep 2015
Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:18 commits, 2 PRs, 19 comments in 8 days
Contributions summary:Guillermo primarily contributed to the development of the MultiQC module for QualiMap, a bioinformatics tool, and also made changes to the FastQC and Bismark modules. Their work included implementing new features, such as coverage and insert size histogram plots, adding data tables, and fixing bugs. The user also integrated improvements and merged code from the master branch, indicating involvement in maintaining the project's overall functionality and integrating updates.
multiqcpythonpypianalysesbioconda
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