Feifan Fan in

Feifan Fan

Questioner · DISC type c
Director of ML Engineering at Inworld AI
📍 San Francisco Bay Area, United States

Feifan Fan is the Director of ML Engineering at Inworld AI, focusing on building generative AI products. An alumnus of Peking University, he previously spent years at Google as a Tech Lead Manager in Ads Quality, where he specialized in machine learning applications and transfer learning.

He is a decorated engineer, having received both the 2023 Google Ads Tech Impact Award and the 2021 Google Ads Innovation Award for his contributions.

Read the full overview →
Experience
7 Years
Current Role
Director of ML Engineering
Job Level
Mid-senior
Location
San Francisco Bay Area, United States
Personality Overview

How Feifan shows up

Value Seeker
Price-Sensitive
Systematic

They are more likely than others to negotiate on pricing and terms. They prefer to do thorough analysis of any situation. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.

Priorities

Topics Feifan cares about

Real-time Voice AI
His recent work and shared updates focus on creating more expressive, stable, and faster real-time AI voice models and applications, such as Inworld TTS-1. 5.
Scaling AI Applications
He is focused on solving the challenges of building and scaling consumer AI applications, as demonstrated by his work on the Inworld runtime platform.
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Career

Work history

5-2024
Director of ML Engineering
Inworld AI
10-2023 - 5-2024
Staff Software Engineer / Tech Lead Manager
Google
10-2021 - 10-2023
Senior Software Engineer
Google
2-2020 - 10-2021
Software Engineer
Google
12-2016 - 4-2017
Research Intern
Sinovation Ventures (创新工场)
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2014 - 2017
Master of Science (M.S.)
Peking University
2010 - 2014
Bachelor of Science (B.S.)
Nanjing University
Social presence
in
Behavioral profile

DISC profile (public)

c

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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