Machine learning · Computer vision · LLM systems

Nancy (Xin Ru) Wang

Applied scientist turned technical co-founder. Most recently built a real-time voice agent and live video classroom; before that, computer vision models that run on amazon.com.

PhD from the University of Washington, then IBM Research, five years at Amazon, and since 2025 co-founder and CTO of FluenTea, where I designed and built the product, from the voice agent to the Android app.

Portrait of Nancy Wang

Where I have worked

  1. 2025 to now
    Co-founder and CTO, FluenTea, Berlin. Built the voice agent, the product and the infrastructure as the team's only technical person, starting while on leave from Amazon.
  2. 2021 to 2026
    Applied Scientist, Amazon, Berlin. Researched, developed and shipped computer vision and multimodal models on the retail site.
  3. 2019 to 2021
    Research Staff Member, IBM Research Almaden, San Jose. Table extraction for enterprise documents.
  4. 2014 to 2018
    PhD in computer science, University of Washington, Seattle. Decoding behavior from brain recordings and video.

Now

FluenTea is a video classroom with an AI speaking coach, ChaCha, for language schools. Every class and practice call is transcribed, and from the transcripts the teacher learns how long each student spoke, and each student and teacher gets feedback. I built the coach, the video classroom and the continuous feedback loops that improve the product from user behavior. In the first university pilot, most students kept practicing with her for longer than their teachers had required. I helped manage a team of six part-time advisors, from language teachers to UX and product designers.

Selected work

2025 to present

FluenTea, co-founder and CTO

Language schools run live classes in it and the AI coach runs practice calls between classes. I designed and built the engineering infrastructure, frontend, video platform and AI coach as the technical co-founder.

  • 3 months, concept to launch
  • 3 university clients
  • 500 students at the first
  • 16k+ users in 136 countries
More about FluenTea
2021 to 2026

Amazon, applied scientist

Technical lead on three computer vision projects that went to production on amazon.com and Alexa, including a text-VQA model that filled in sizes for more than ten million products. Amazon global Door Desk award.

  • 3 launches
  • 10M+ products
  • 1 WACV paper
More about Amazon
2019 to 2021, after the PhD

IBM Research, research staff member

Led GTE, a table extraction system (WACV 2021), built the TableLab labeling tool around it, and organized a SemEval 2021 shared task. My PhD work on decoding behavior from brain recordings and video was an oral at AAAI 2018.

  • AAAI oral
  • WACV ×2
  • NAACL, ACL workshop
More about the research

Outside work

I love brains and computers, basically any cognitive system. I was born in Nanjing, grew up in Canada, and have lived in Berlin since 2021, where I am slowly learning German. I like living inside other cultures, and role-playing and strategy games (Dragon Age and XCOM most of all).