About

Hello, this is Tiffena!

I have spent my career navigating complex systems—technical, cultural, and human.

Profile

Looking past the surface to uncover hidden needs.

As a product builder, my core instinct is to look past the surface to uncover hidden needs, reveal overlooked patterns, and design the structures that make clarity possible. When real user needs and systemic patterns come into focus, people understand each other differently—and true alignment becomes possible.

I build AI systems that people actually use and trust: systems that surface the right information at the right moment, respect real-world constraints, and help users make confident decisions without requiring them to become experts.

This space is where I learn in public — by documenting discovery while reading, tinkering, and traveling. You’ll find notes on Japan, Asian business trends, NLP and AI engineering, DevOps experiments, book reviews, meta-learning, and the small practices that keep a mind steady and well.

01

Current focus

Independent Product Builder. Architecting serverless data applications, multimodal search tools, RAG pipelines, and recommendation systems (Find My Ryokan, Birding Planner).

02

Background

Senior Product Manager at Microsoft (2002–2015). Led zero-to-one launches across US and APAC markets, drove global user acquisition and retention, and built early-adopter technical communities. Board Member of a local environmental non-profit.

03

Education

BSc. Computer Science, Oklahoma State University. Professional certificates in AI Product Management (Duke, 2024), NLP (DeepLearning.AI, 2024), and Recommender Systems (University of Minnesota, 2024).

Interests

Areas I study

Meta-learning & Cognition — Simplifying complex concepts to accelerate personal growth and design intuitive product onboarding.

Social Design — Applying community-centric principles to tackle social issues and build inclusive, trusted tech ecosystems.

Consumer Trends & Psychology — Analyzing user behavior and cultural dynamics to design natural, behavior-driven AI systems.

History & Strategy — Studying historical pivots as case studies to inform product strategy, leadership under uncertainty, and long-term decision-making.