MCP and agents

Python developer experience

Re-architected Python packaging infrastructure to fix a critical security vulnerability exploited by a security researcher (

https://medium.com/pinterest-engineering/addressing-python-dependency-confusion-at-pinterest-e0a0609c8e9). This involved sunsetting custom infrastructure in favor of Artifactory, and rolling out infrastructure changes across 1000+ engineers

Defined Python infrastructure strategy through comprehensive analysis of million+ line monorepo used by 1000+ engineers, synthesizing feedback from 30+ technical leads across 20 teams into an actionable roadmap

Key Technologies: Python , pip-tools, Bazel, AWS, CI/CD (Jenkins)

Tech lead of marketing pipelines in Growth Engineering. Using Airflow / SQL / Spark to optimize ad spend on Google Ads, Facebook Ads, etc

Building RF data pipelines in Python on Kafka and AWS. Led development of "miniaturized" version of product on Docker Compose, originally for testing purposes, that became a smaller entry point proudct that led to $1Mil+ in sales:

https://www.dhs.gov/science-and-technology/news/2020/12/11/news-release-st-svip-continues-partnership-atlanta-based-start-up

2018: Software Engineer for Mobile Productivity, building data pipeilines in Go for observability of build and test analytics of internal Android developers

2015-2017: Developer Relations for Google Cloud Platform (GCP), building sample apps and guides, with a focus on Kubernetes, Cloud Metrics, Cloud Logging, Cloud Bigtable (HBase) and Django Developers:

Initial creator of : https://github.com/GoogleCloudPlatform/python-docs-samples (now 6.7k stars on Github)

Blogging on Kubernetes: https://medium.com/google-cloud/deploying-django-postgres-redis-containers-to-kubernetes-9ee28e7a146