About
Software Engineer for machine learning infrastructure and delivery at scale.
Languages & Frameworks:
Python | Docker | Kubernetes | GCP | AWS | Elasticsearch | Linux | Git | Kubeflow | Airflow | Scala/Spark
Skills:
MLOps | Dev/Ops | NLP | General ML | Deep Learning | Agile | Presentation | Education
Ask me about
Work experience
- April 2022 – present
Etsy
Senior Software Engineer I, Machine Learning - January 2018 – present
NYC Data Science Academy
Data Science MentorConsult students on data science projects in R, Python, SQL, ML and general engineering. Train new data scientists to employ real world machine learning skills. - October 2020 – April 2022
Etsy
Software Engineer, Machine Learning Platform - July 2019 – September 2020
Pfizer
Machine Learning Engineer• Product owner of a scalable end-to-end MLOps pipeline deploying models to Kubernetes • Dev team lead for machine learning infrastructure and dev/ops • Deployed ML and DL models to serve predictions to multiple applications in real time • Designed a novel CI/CD machine learning workflow bringing dev/ops to ML solution delivery - November 2017 – June 2019
Pfizer
Data Scientist• Developed novel multilingual search tool for medical information using Elasticsearch to serve thousands of health care practitioners in China (70k requests first week) • Used tree-based and regularized models to predict clinical trial outcomes from clinical and gene expression data - July 2017 – January 2018
FleetWit
Data Scientist• Performed analysis and structuring on company user data streamed from remote MongoDB • Improved marketing impact by analyzing app advertisement data using the Facebook API and Facebook Ads Manager data - September 2017 – November 2017
Pfizer
Associate Data Scientist (Intern)• Built ML algorithms to improve customer targeting and segmentation for Pfizer products - April 2017 – September 2017
NYC Data Science Academy
Data Science Consultant• Aided in development of a platform to test students in R, Python, SQL and ML • Created self grading problems and data science workflows/structures for student practice • Consulted students on data science projects, aided in R, Python, SQL and ML skill development - November 2015 – January 2017
IsoPlexis
Data Analyst• Used machine learning algorithms (PCA) to analyze cellular data and enhance research on novel protein subgroups of clinical significance using R. • Ran statistical significance tests (ANOVA, Mann-Whitney, etc) on pharmaceutical clinical trials data using R, Python and excel to research drug efficacy and effect. • Grew research utility and analytics interpretability with techniques for sparse and multidimensional data. • Supported several successful government grant wins with drafting, data organization, and data visualization.
Education
- 2017 – 2017
NYC Data Science Academy
Certification, Data Science - 2015 – 2016
Quinnipiac University
Master's degree, Molecular and Cellular Biology - 2011 – 2015Bachelor's degree, Biology