Nicholas Kong Email & Phone Number

San Francisco, Ca, Us

Sunnyvale, Ca, Us

Since June 2023, I've been a tech lead in the Top-of-Funnel AI team (Growth). I lead two projects:1. Producing scalable text summarization solutions by using knowledge distillation on LLMs.2. Dynamically generating topics through LLM embedding clustering and scalable topic tagging via EBR.Together with Eng and Product partners, we've driven XX% SEO sessions growth, and we're just getting started!Prior to this, I was the tech lead for the Infra Data Science team, leading 2 data scientists and 2 ML engineers on projects supporting on-prem capacity planning and resource optimization. For FY24, we delivered new forecasting models that would have saved $XX M when applied to last years' forecast.My starter project was in model health monitoring, where I led two engineers to improve LinkedIn's model health monitoring infrastructure by integrating a deep-learning anomaly detection model with Linkedin's common alerting platform. This reduced outage detection time from weeks to days

San Bruno, Ca, Us

I worked on the YouTube Music team, building ML models for understanding music on YouTube. Problems I tackled included:* Genre classification* Music video identification* Identifying high quality new releases by predicting expected watch-time

Mountain View, Ca, Us

2015 - 2017: Making Gboard smarter. I launched the feature in iOS and Android Gboard that suggests search queries while you type, and (together with many colleagues) shipped the first public deployment of federated learning to train a model that learns when to trigger a query.2014 - 2015: Working on Knowledge Graph human computation infrastructure.

Berkeley, Ca, Us

Working on varied information visualization topics, in particular graphical perception and automated chart understanding.

Mountain View, Ca, Us

Mentored by Dr. Ronen Vaisenberg. As part of the Knowledge Graph team under Google's search infrastructure, launched several innovative modules that helped users reason with large data related to a human computation task. Specifically, worked on algorithms and visual interfaces that help users evaluate different judgment resolution algorithms, rater performance, and question difficulty. Worked with Google Appengine, AngularJS and JQuery in Javascript, Python, Java, and Google's production platform.

San Francisco, Ca, Us

Mentored by Tovi Grossman. Worked on a system to enable workflow comparison for image-editing tools. Worked with Java and the prefuse visualization toolkit.

Palo Alto, California, Us

Mentored by Gregorio Convertino and Ed H. Chi. Worked in the Augmented Social Cognition group on collaboration tools for knowledge workers. Worked with MediaWiki (PHP), Flash, Django (Python), and the flare visualization toolkit.

Redmond, Washington, Us

Mentored by Steven Drucker and Gonzalo Ramos. Investigated techniques for tracking information propagation in the blogosphere and Twitterverse, and applied these techniques to designing a more effective RSS reader. Worked with WPF, C#, and Silverlight.

Phd, Computer Science

Basc, Engineering Science - Computer Option