Sotiris Karagounis
Senior Machine Learning Engineer at The New York Times
New York, New York, United States
Summary
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Senior🎓
Top SchoolSotiris Karagounis is a Senior Machine Learning Engineer in New York with 10 years of experience building scalable feature-engineering and HPC infrastructure for research-driven teams. He has a strong track record at 23andMe designing multi‑terabyte ETL and feature pipelines (DuckDB, Polars, Flyte, AnnData) and managing Kubernetes/Terraform CI/CD for widely used research apps. At The New York Times he now applies that blend of production engineering and ML systems thinking to editorial-scale problems. He is comfortable bridging scientists and engineers—shipping GPU containerization on SLURM, Nextflow model pipelines, and ontology-mapping NLP to enable federated queries across datasets. A Columbia CS master’s and Brown applied math/CS background ground his work in rigorous engineering and reproducible research practices. Colleagues rely on him to translate complex domain needs into performant, auditable data platforms that scale.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Applied Math and Computer Science, Bachelor’s Degree Applied Math and Computer Science at Brown UniversityMaster's degree Computer Science, Master's degree Computer Science at Columbia UniversityHigh School, High School at Anatolia College
Greek, English, Spanish
Github Skills (8)
biomedical3
science3
data-science2
biomedical-informatics2
python2
uid1
credit1
icd1
Programming languages (2)
Github contributions (5)
skaragou/skaragou.github.io
Dec 2017 - Jul 2019
Contributions:54 pushes, 1 branch in 1 year 7 months
kcook22/6998_NYCRentProject
Mar 2021 - Sep 2021
Contributions:5 pushes in 6 months
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