Drew Hodun
Manager, Applied AI Engineering at Anthropic
New York, New York, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inGoogle Cloud Platform Development Essentials
Drew Hodun is an applied AI engineering leader with a decade of experience building and scaling ML-driven products across cloud and enterprise settings, currently managing Applied AI Engineering at Anthropic in New York. He has a strong Google Cloud pedigree—leading ML professional services, authoring training content, and shipping 0-to-1 customer solutions like LLM-based tutoring and graph‑ML fraud systems. Technically fluent across TensorFlow, Hugging Face, BigQueryML, Neo4j, Kubernetes and production ML pipelines, he also contributes to open-source GCP training labs focused on dataflow and model lifecycle automation. Known for translating research into deployable systems, he combines hands-on engineering with team leadership and a knack for operationalizing large-scale data and LLM projects.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science Engineering Physics, Bachelor of Science Engineering Physics at Santa Clara UniversitySt. Xavier High School
Spanish
Github Skills (13)
machine-learning10
dataflow-programming10
dataflow10
gcp10
java9
modeling9
python9
tensorflow9
trainings9
etl9
javas9
bigquery8
keras8
Programming languages (8)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Feb 2020 - Jun 2021
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
ML Engineer & Data Engineer
ML Engineer & Data EngineerContributions:171 commits, 44 PRs, 140 pushes in 1 year 3 months
Contributions summary:Drew's commits indicate work primarily focused on machine learning pipelines within the Google Cloud Platform. They addressed a bug related to an argument within a training and deployment helper function, suggesting involvement in the model lifecycle. The updates to a Dataflow Java quest involved creating, formatting, and writing data, highlighting proficiency in data engineering concepts and technologies relevant to the project's machine learning training and data analysis focus. This person appears to be a contributor on the machine learning and data pipelines.
gcpgoogle-cloud-platformgoogle-cloudtraining
dhodun/FireO
Apr 2021 - Dec 2022
Google Cloud Firestore modern and simplest convenient ORM package in Python. FireO is specifically designed for the Google's Firestore
Contributions:9 pushes, 8 branches in 1 year 8 months
pythonfirestoresimplestfirebasecloud-firestore
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