Overview
Work History
Education
Skills
Selected Presentations & Publications
Timeline
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Gregory Antell

AI Platform Engineer And Product Manager
Huntingdon Valley,PA

Overview

9
9
years of professional experience

Work History

Principal AI Operations and Platform Engineer

Dana-Farber Cancer Institute
03.2023 - Current
  • AI/ML Operations – Established MLOps best practices for workflow orchestration, feature engineering, model registration and CI/CD deployment through templates, scripting, and wiki documentation.
  • Data Interoperability & Governance – Designed system to enable secure and consistent data governance via Databricks Unity Catalog to access Azure Data Lake Storage (ADLS), and Snowflake enterprise data warehouse.
  • Cloud Architecture & Platform Administration – Manage cloud architecture to manage Azure Databricks Workspaces. Maintain CI/CD pipelines in Azure DevOps incorporating and infrastructure as code (IaC) with Terraform.
  • Customer Enablement and Product Roadmap – Partnered with business analytics, data science, and ML researchers to define AI/ML platform roadmap. Leverage Databricks Asset Bundles to standardize use cases, including retrieval-augmented generation (RAG), predictive modeling, and real-time inference.

Senior Machine Learning Engineer

Dana-Farber Cancer Institute
06.2021 - 03.2023
  • Operationalized batch training and inference workflows on Azure Databricks for research-grade NLP models to support automated and scalable patient data curation from clinical text.

Data Scientist

Dana-Farber Cancer Institute
03.2019 - 06.2021
  • Implemented ETL pipeline on GCP and BigQuery to transform EHR data from 1.1M patients (~500 GB) to the OMOP common data model in support of radiology research (Nature Med, 2023).

Technical Product Manager

BigML Inc.
01.2018 - 02.2019
  • Technical product manager for quarterly platform feature releases, including the API and GUI design for AutoML and ML prediction explainability tools.
  • Authored and presented BigML platform documentation, training workshops, and release demos.

Health Data Science Program Director

Insight Data Science
01.2016 - 01.2018
  • Technical mentor for 80+ cloud-hosted data product prototypes applying ML, computer vision, and NLP methods.

Education

Ph.D. - Biomedical Engineering

Drexel University
Philadelphia, PA
01-2017

Bachelor of Science - Biochemistry

University of Notre Dame
Notre Dame, IN
01-2010

Skills

AI/ML Platforms: Azure Databricks, GCP Vertex AI

ML-Ops: training, deployment, monitoring, CI/CD

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Selected Presentations & Publications

Enabling Cancer Research by Operationalizing and Scaling AI-assisted Data Curation

Presenter, Databricks Healthcare & Life Sciences Forum, Boston, MA, 2024

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

Placido, D. et al. Nature Medicine, 2023

Machine Learning in Production and MLOps

Lecturer, Harvard University School of Public Health, Cambridge, MA, 2021-2023

Machine Learning in Production: A Hybrid Cloud Approach to Pathology Report Data Curation

Presenter, AACR Project Genie Biopharmaceutical Consortium, San Diego, CA, 2020

Machine Learning in the Real-World: Why You Need a Platform to Run Machine Learning at Scale

Presenter, Machine Learning Prague, Prague, CZE, 2019

Timeline

Principal AI Operations and Platform Engineer

Dana-Farber Cancer Institute
03.2023 - Current

Senior Machine Learning Engineer

Dana-Farber Cancer Institute
06.2021 - 03.2023

Data Scientist

Dana-Farber Cancer Institute
03.2019 - 06.2021

Technical Product Manager

BigML Inc.
01.2018 - 02.2019

Health Data Science Program Director

Insight Data Science
01.2016 - 01.2018

Ph.D. - Biomedical Engineering

Drexel University

Bachelor of Science - Biochemistry

University of Notre Dame

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Gregory AntellAI Platform Engineer And Product Manager