As an ML Developer Advocate at neptune.ai, a leading SaaS MLOps platform, I drive technical sales support by creating example projects and demos, provide top-notch technical support to our paying customers, contribute directly to Neptune’s Python client through bugfixes and shipping user-requested features, and act as the bridge between Neptune’s users and Neptune’s customer success, product, and engineering teams. With a background as a Data Scientist and Full-Stack Developer at Reuters, I generated over $3M in Annual Recurring Revenue through my work on models, pipelines, web apps, and analyses for editorial and sales teams. My four years of ETL development experience at Deloitte further enhances my expertise in the data field.
When I am not working, I am creating Streamlit apps and components. I am the maintainer of st_supabase_connection - a Streamlit Connector for Supabase database, storage, and auth, and st_login_form - a one-line Authentication UI for Streamlit apps.
