Daniel Palomino
Machine Learning Engineer at Moody's Analytics
Peru
Summary
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SeniorDaniel Palomino is a Machine Learning Manager and senior software engineer with nine years of experience building production-grade AI systems, distributed data platforms, and scalable search infrastructures. He has led international engineering teams and owned end-to-end delivery—architecting ETL and data pipelines, deploying transformer-based NLP services, and operating Elasticsearch/OpenSearch at scale across cloud and on-prem environments. Comfortable moving between Python, C, and cloud-native tooling (AWS Glue, Redshift, Docker, Kubernetes), he focuses on translating business problems into reliable, high-performance ML solutions. His background includes fintech-grade low-latency systems and security-aware anomaly detection work, reflecting a blend of systems engineering and applied ML. A passionate mentor and instructor, he has taught deep learning for NLP and CV while raising engineering standards through rigorous testing and observability practices. Based in Vancouver, he brings both research experience in transfer and reinforcement learning and hands-on delivery of semantic search, OCR, and transformer fine-tuning in production.
10 years of coding experience
Github Skills (2)
odoo2
erp1
Programming languages (2)
Github contributions (5)
dpalominop/AdvacedSentimentAnalysis
Jan 2019 - Apr 2019
Contributions:34 commits, 27 pushes, 1 branch in 2 months
dpalominop/DashboardLSSH
Jun 2017 - Oct 2017
Contributions:255 pushes, 2 branches in 4 months
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