Daniel Hwang
,South Korea
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Daniel Hwang is a seasoned entrepreneur and product leader, currently serving as the Co-founder and CEO of Taelor, an AI-powered men's clothing rental subscription service. With a mission to make fashion more sustainable and convenient, Taelor leverages artificial intelligence to provide personalized styling for men. Daniel has a strong background in technology and business, having held significant roles at major companies like Google (Product Manager), eBay (Senior Manager, Strategy & Product), and McKinsey & Company (Engagement Manager). He holds an MBA from The Wharton School and a BS in Electrical Engineering and Computer Science from the University of California, Berkeley. Daniel is passionate about leveraging technology to solve real-world problems and drive innovation in consumer-facing industries.
Professional Summary
Daniel Hwang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Co-founder & CEO of Taelor
Successfully co-founded and leads Taelor, an innovative AI-driven men's clothing rental service. Secured funding and scaled the company, focusing on sustainable fashion and personalized user experiences. Taelor was part of the StartX accelerator program.
Product Leadership at Google
Served as a Product Manager at Google, contributing to the development and strategy of key Google products, demonstrating expertise in product lifecycle management and user-centric design.
Strategy & Product at eBay
Held the role of Senior Manager, Strategy & Product at eBay, where he was involved in shaping product strategies and driving initiatives for the global e-commerce platform.
StartX Accelerator Alumnus
Led Taelor through the prestigious StartX accelerator program (affiliated with Stanford University), gaining valuable mentorship, resources, and network connections to grow the business.
MBA from The Wharton School
Earned a Master of Business Administration from The Wharton School, University of Pennsylvania, further developing his business acumen and leadership skills.
Educational Background
Master of Engineering - MEng, Computer Science
Johns Hopkins Whiting School of Engineering - Year 2018
Bachelor of Arts, Biology and Religion
Swarthmore College - Year 2007
Bachelor of Science (B.S.), Computer Science
University of Maryland College Park - Year 2013
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Company Overview
Kintsugi TechnologiesKintsugi is an award-winning company developing novel voice biomarker software to detect signs of depression and anxiety from short clips of free-form speech. Their technology aims to provide equitable access to mental healthcare by integrating with clinical call centers, telehealth platforms, and remote patient monitoring apps, making it easier to identify and triage individuals in need of support.
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