• I specialize in developing recommendation algorithms that balance multiple objectives, explaining those algorithms to my teammates, and improving listener experiences.
• Collaboratively invented and deployed a patented algorithm to balance multiple objectives in a sequence, leading to simultaneously increased metrics for multiple business objectives. This algorithm created a $50 million+ monthly revenue stream for the company.
• Coordinate and work collaboratively with people across the globe to design, build, and deploy new intelligent sequencing models.
• Work with user researchers, product, and music curators to understand sequencing problems from multiple perspectives and build better, more balanced and empathetic solutions.
• Use backend, data, and ML engineering to build new sequencing models.
• Explain our research and new algorithms at large company-level presentations. Create prolific documentation and resources for explaining new algorithms to leadership, other engineers, and non-engineering researchers.
• Learning about how to intelligently sequence playlists.
• Previously worked on a framework for easily building personalized playlists at Spotify.
Other Roles:
• "Tribe" level Diversity & Belonging co-lead (hoping that we'll rename 'tribes' to something better)
• Diversity and Belonging co-lead in Boston
