David Hsu

David Hsu Email and Phone Number

CTO at Tektonic @ Tektonic AI
David Hsu's Location
San Francisco Bay Area, United States, United States
David Hsu's Contact Details
About David Hsu

David Hsu is a CTO at Tektonic at Tektonic AI. He possess expertise in mysql, e commerce, distributed systems, amazon web services, linux and 14 more skills. Colleagues describe him as "I have had the privilege of working under David's leadership on several projects over the past year. It is rare for me to work under someone so high up that has such a strong grasp of technology and the vision necessary to implement said technology in far reaching effective manner. David understood before anyone else the complexity involved in bringing machine learning systems to production., pointed out the technology gaps we needed to solve to solve data flow and quality issues. and empowered me to solve those problems with some of the most cutting edge technology in the market. Any company trying to solve complex machine learning problems would benefit from David's insight and experience in this area. I hope I find myself fortunate enough to work with David again in the future." and "David's superpower is translating technology into product. He is so smart and always asks the right questions to get the best possible product built. Very few people can bridge the gap between technology and product the way he can, and I am always so impressed by his work."

David Hsu's Current Company Details
Tektonic AI

Tektonic Ai

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CTO at Tektonic
David Hsu Work Experience Details
  • Tektonic Ai
    Founder, Cto
    Tektonic Ai Nov 2023 - Present
    Bellevue, Wa, Us
  • Madrona Venture Labs
    Founder In Residence
    Madrona Venture Labs Aug 2023 - Present
  • Stubhub
    Senior Director Of Engineering
    Stubhub Jun 2022 - Apr 2023
    New York, Ny, Us
    Led performance marketing responsible for the engineering platform that optimized both paid advertising and direct marketing channels, and started two new teams focused on ML applications for the consumer experience, and online experimentation.
  • Google
    Engineering Manager
    Google Feb 2019 - Jun 2022
    Led the ads format quality team, responsible for optimizing ad formats and building ML models for controlling optional content that can appear on individual ads on the search results page. Team consistently delivered billion-dollar impact on yearly basis through machine learning, auction mechanisms, and ad format improvements
  • Cotiviti
    Vice President Digital Strategy
    Cotiviti Feb 2018 - Jan 2019
    I lead the system and infrastructure architecture team for Cotiviti's digital initiative for centralizing the company's data assets and providing a unified big data platform for powering offline analytics, data pipelines, machine learning, and services. My team's responsibilities include infrastructure architecture including our hadoop platform, improving our development operations, cloud strategy, and compliance.
  • Kabbage
    Head Of Data Science
    Kabbage Feb 2016 - Feb 2018
    Atlanta, Georgia, Us
    Led the data science team at the Kabbage, a fully automated lending platform that has provided over three billion dollars in working capital for small businesses. Team responsibilities include both core lending risk models and our internal machine learning / data science experimentation platform for feature generation and model training from diverse unstructured data sources such as financial transactions, social media content, traditional credit reports, and sales channels. Served as the interim head of analytics for a 50 person offshore analytics team headquartered in India, responsible for BI reporting, marketing and collection analytics, and risk strategy.
  • Ebay
    Principal Member Of The Technical Staff
    Ebay Sep 2013 - Feb 2016
    San Jose, Ca, Us
    Technical lead and later manager for the applied research team responsible for seller guidance and insights for consumers and businesses. My team delivered algorithms that powered recommendations for both consumer and professional sellers resulting in over 250 million dollars in incremental GMV year-over-year.
  • Decide
    Chief Scientist
    Decide 2010 - Aug 2013
    Seattle, Wa, Us
    • Managed the data science team at decide. Team responsibilities include core data collection and processing systems, research & development that led to several core product features, and analytics.• Key accomplishments included launching price predictions, price guarantees, the decide score product rating system, review sentiment analysis, product news & rumors, evolving our data processing systems from 4 categories and 100000 products to over 100 categories and 10’s of millions of products, and data analysis for marketing outreach that has been featured in places like the New York Times and Wall Street Journal,
  • Microsoft
    Senior Development Lead
    Microsoft Apr 2008 - Jul 2010
    Redmond, Washington, Us
    • Responsible for airfare data collection, analysis, and continued development of Farecast’s predictive algorithms at Bing Travel.• Key accomplishments included expanding Farecast’s predictive technology and analytics from around 200 to 10000 airfare routes, and development of an internal airfare pricing system.
  • Farecast
    Lead Datamining Engineer
    Farecast Oct 2004 - Apr 2008
    • Datamining lead at Farecast, an award winning travel meta-search engine ( voted top 50 website in 2006 by Time Magazine), eventually acquired by Microsoft for 115 million dollars, and rebranded as Bing Travel. Led team responsible for airfare data collection, analytics, and the prediction technology that powered airfare price predictions, deals, and airfare price insurance.• Primary developer of Farecast’s core innovation, a price prediction algorithm for airfares that was 74% accurate in predicting changes in airfare
  • Amazon.Com
    Software Engineer
    Amazon.Com Sep 2003 - Oct 2004
    Seattle, Wa, Us
    • Worked in the cross-selling and personalization teams at Amazon. Sole developer responsible for designing and implementing the What Other Items Do Customers Buy After Viewing This Item recommendations on Amazon product pages.

David Hsu Skills

Mysql E Commerce Distributed Systems Amazon Web Services Linux Algorithms Software Strategy Hadoop Java Big Data Scalability Python Computer Science Machine Learning Analytics Cloud Computing Data Mining Mapreduce

David Hsu Education Details

  • University Of Washington
    University Of Washington
    Computer Science
  • University Of California, Berkeley
    University Of California, Berkeley
    Computer Science

Frequently Asked Questions about David Hsu

What company does David Hsu work for?

David Hsu works for Tektonic Ai

What is David Hsu's role at the current company?

David Hsu's current role is CTO at Tektonic.

What is David Hsu's email address?

David Hsu's email address is dh****@****hub.com

What is David Hsu's direct phone number?

David Hsu's direct phone number is +150344*****

What schools did David Hsu attend?

David Hsu attended University Of Washington, University Of California, Berkeley.

What skills is David Hsu known for?

David Hsu has skills like Mysql, E Commerce, Distributed Systems, Amazon Web Services, Linux, Algorithms, Software, Strategy, Hadoop, Java, Big Data, Scalability.

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