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Building production ML systems with a focus on interpretability and measurable impact.
FEATURED PROJECTS
Selected work
BizSentinel
CompletedEnd-to-end ML platform for e-commerce customer intelligence
Spot high-risk customers, anomalous transactions and churn before revenue leaks — 97,896 SMB e-commerce customers scored end-to-end.
Hardware Pulse
In ProgressPC hardware price intelligence for the Uruguayan market
Helps Uruguayan PC buyers time their purchase and find the cheapest retailer across GPUs, CPUs, SSDs and RAM.
Music Taste Recommender
CompletedBusiness-driven hybrid recommendation engine
Helps streaming listeners discover more of the catalog without losing relevance — pushing genre diversity from 19% to 70% at a 0.89 relevance score, so users explore instead of churning out.
TECHNICAL SKILLS
What I work with
Machine Learning
MLOps & Pipelines
Data Engineering
Frontend & Viz
EXPERIMENTS & NOTEBOOKS
Lab
CNN-based image classifier trained to recognize sports categories from photos.
SVM vs Random Forest comparison on 918 examples. SVM achieved F1-Score of 0.897 on test set.