Thales Filizola Costa
Summary
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SeniorThales Costa is a Staff Machine Learning Engineer with 12 years of experience building large-scale ML systems for ads and content at Meta and Google, currently driving Instagram Reels growth from the San Francisco Bay Area. He has led teams and owned core models—ranging from YouTube ads safety and premiumness scoring to LTV and ad-load user embeddings—protecting billions of impressions and improving ad relevance. His background blends applied research from an MSc in Computer Science with hands-on engineering, from porting enterprise Java to Unix to shipping production-ready recommendation and deduplication systems for government and industry. Thales is skilled at turning modeling research into robust, high-throughput services and at designing user-centric embeddings that directly influence product metrics. Colleagues would note his pattern of owning end-to-end problems across infra, models, and metrics, plus an ability to simplify costly operational barriers for customers. He brings a pragmatic, metrics-driven approach to growth-focused ML with deep experience in both research and production engineering.
12 years of coding experience
Github Skills (40)
jupyter-notebook9
crawler9
python8
aws8
scrapy8
sagemaker8
crawling8
lasagne7
machine-learning7
inference7
reinforcement-learning7
amazon-sagemaker7
huggingface7
mlops6
deep-learning6
Programming languages (4)
Github contributions (5)
thalesfc/scrapy-fatsecret
Aug 2015 - Aug 2015
Contributions:4 releases, 38 pushes, 1 branch in 20 days
thalesfc/Multprocess-Scheduler
Aug 2016 - Aug 2016
Contributions:10 commits, 3 pushes, 1 branch in 3 days
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