Joaquim Viegas
Senior Machine Learning Engineer at Amplemarket HQ
Portugal
Summary
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Senior🎓
Top SchoolJoaquim Viegas is a Lead Machine Learning Engineer based in Portugal with 11 years of experience building and shipping data and AI products across industry and research. He has led production ML efforts—from fraud detection and delivery-time prediction to fine-tuned language models for customer support—automating model lifecycles and reducing operational costs at scale. His background spans hands-on engineering (Python, Spark, Kafka, Kubernetes, Databricks, BigQuery) and product-facing roles, including product management and mentoring cross-functional teams. A PhD-trained researcher who taught and supervised students, he brings rigorous optimization and experimentation practices to production systems. Notably, he blends academic depth in optimization and sustainable energy with practical expertise in streaming and API-based live serving, making him adept at taking complex models from prototyping to reliable production.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Sustainable Energy Systems (MIT Portugal Program), Doctor of Philosophy - PhD Sustainable Energy Systems (MIT Portugal Program) at Instituto Superior Técnico
Portuguese, French, English
Github Skills (11)
pandas10
frame10
python10
validity10
data-science10
manipulation10
data-analysis10
data-manipulation9
data-structures9
dataframes9
kubernetes4
Programming languages (2)
Github contributions (5)
jqmviegas/jqm_cvi
Dec 2014 - Sep 2016
Small module with Cluster Validity Indexes (CVI)
Contributions:12 commits, 5 pushes in 1 year 9 months
clustervaliditykubernetesindexes
jqmviegas/jqmviegas.github.io
Jun 2015 - Dec 2019
Contributions:23 pushes, 3 branches in 4 years 6 months
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