About
Fragrance is one of the last great un-digitized sensory worlds. I'm building the data and AI layer that changes that.
My fragrance ecosystem spans three interlocking products: My Notes, an AI-powered personal fragrance discovery app; The Fragrance Heat Index, a data-driven cultural ranking engine; and the underlying database infrastructure that ties it all together.
I come at this as a developer, a JD, and a writer. By day I'm a ML/AI Legal Analyst on the Product Attorney Team at Trellis.law — where I know firsthand what it takes to ship AI features people actually use.
Author · Musician · Yogi.
I am a published author (Brill, 2019), editorial contributor to Apollo Magazine International, and a conference presenter on trauma, intercultural communication, and human rights — Phnom Penh, Lisbon, Oxford, Prague.
My writing sits at the intersection of culture, identity, and the future of self-expression. My code sits at the intersection of AI, data engineering, and consumer experience. I find the overlap between the two and build there.
The fragrance ecosystem
My Notes Personal Perfume App™
Intelligent fragrance discovery powered by AI recommendations, advanced search algorithms, and personalized collection analytics. The consumer entry point into the ecosystem.
ankamason-perfume-app.surge.sh ↗The Fragrance Heat Index
A data-driven ranking of the world's most talked-about fragrances — tracking social buzz, search momentum, community ratings, retail signals, and press coverage. Think Billboard charts, but for scent.
Python · Flask · SupabaseFragrance Intelligence Database
The backbone of the ecosystem — a structured, queryable database built on Supabase, designed to power both the app and the Heat Index with real-time data pipelines.
Supabase · PostgreSQL · PythonExperience
Product Attorney Team
- Core member of the Product Attorney Team, providing legal analysis and strategic input on AI-powered legal research and case analytics tools used by attorneys nationwide.
- Collaborate cross-functionally with engineering and product to develop, evaluate, and refine AI/ML features embedded in Trellis's legal content platform.
- Helps shape new AI tool development from requirement definition through to release.
- Business law contracts (French–English); technical and medical studies (Spanish–English); patent translations.
- Marketing, hospitality, arts & entertainment localization across French, Spanish, Japanese, and Korean.
Development projects
Publications & editorial
Speaking & conference presentations
Skills
- Python
- Go
- Flask · Jinja2
- Supabase · PostgreSQL
- AI agent development
- LLM integration
- Data engineering
- Algorithmic ranking systems
- ML/AI product strategy
- Legal tech
- Legal research & analysis
- Document review
- Patent translation
- Fragrance & perfumery
- Cultural analysis
- Interdisciplinary research
- English — native
- French — fluent
- German — fluent
- Spanish (translation)
Education