Hayward, California, United States
I create accessible data science content that reaches over 100,000 monthly readers through my 180+ Towards Data Science articles and 800+ daily CodeCut tips covering Python, data workflows, and ML engineering. My mission is to make open-source tools approachable through clear tutorials, documentation, and videos while helping data scientists adopt engineering best practices from version control to deployment.
Helping data scientists and engineers learn practical Python, AI, and open-source tools
• Created blogs and social content that increased Nixtla’s LinkedIn follower growth by 57.5% with 5K average impressions per post. • Spoke at PyData and two other major conferences, reaching 1K+ attendees and boosting brand recognition among data scientists. • Improved documentation and SEO, achieving top-5 rankings for 10+ time-series keywords and driving sustained inbound traffic. • Collaborated with the CEO to convert open-source users into TimeGPT customers through developer-first campaigns and strategic content funnels.
• Designed and developed scalable data pipelines using Pyspark on Databricks, processing large datasets and achieving a 30% reduction in processing time. • Utilized Terraform to create and manage Databricks assets, ensuring infrastructure-as-code (IaC) best practices. • Created GitHub Actions to automate testing, deployment, and monitoring of data pipelines, resulting in a 40% reduction in manual intervention.
• Designed a robust data ingestion pipeline to efficiently pull over 50 million records of data from Teradata and Oracle databases into an S3 bucket. • Built a scalable MLOps pipeline using Amazon SageMaker, which involves data preparation, model training, deployment, and monitoring. • Implemented monitoring and logging mechanisms to track model performance, system health, and data quality, enabling continuous improvement.
• Authored educational articles, videos, and structured documentation, resulting in improved early activation and user retention. • Developed 7 end-to-end ML pipeline tutorials using Prefect, resulting in 1,000+ GitHub stars. • Worked with product and engineering teams to develop integrations with 3 major ML frameworks, resulting in 20+ community contributions. • Led developer community of 25,000+ members on Slack, resolving 50+ technical queries monthly and converting user feedback into 5 new product features