A portfolio of software products, experiments, and evolving ideas.

Choosing a film is rarely about genre or ratings alone. MomoMovies treats discovery as a human decision: mood, context, and the people watching matter.

MomoMovies helps people decide what to watch through mood, viewing context, and available services. The product is in development; its public experience is temporarily unavailable while it is refined.

MomoMovies is an active product experiment combining curated discovery, Vibes-based browsing, streaming-availability work, and private data and analysis pipelines. Some enrichment and ranking work remains experimental.

ListenLab explores how music collections can reveal connections that ordinary streaming interfaces flatten or hide: alternate releases, performances, covers, album context, and personally meaningful organization.

ListenLab is a private music-listening and collection prototype designed to help people explore songs, recordings, releases, and playlists with more context.

ListenLab is a private prototype exploring music metadata relationships through interface experiments around playlist organization, alternate recordings, and release context.

Choosing what to eat is often a coordination and decision problem rather than a lack of options. Preferences, energy, dietary constraints, time, and the people involved all shape the choice.

Meal Match is an early product concept for helping individuals or groups decide what to eat by narrowing options around preferences, context, and practical constraints.

Meal Match is early product research and system design exploring structured preference inputs, constraint matching, shared decisions, and recommendation logic. No application or functional prototype is available yet.