Lightspeed Venture Partners

Lightspeed is global venture capital firm investing in consumer and enterprise technology startups. Over the past two decades, the Lightspeed team has backed and helped build more than 200 companies globally, most since inception or Series A. Recent IPOs and sizable acquisitions include Nutanix (NTNX), AppDynamics (APPD, purchased by Cisco for $3.7B), Mulesoft (MULE, purchased by Salesforce for $6.5B), Snap (SNAP), and Stitch Fix (SFIX). The firm currently manages over $5 billion of committed capital.

Partner, Data Platform

SignalFire

SignalFire is a complete redesign of the modern venture firm based on six years of careful study and development by a team of world class investors and engineers trained at General Catalyst, KPCB, Andreessen Horowitz, Yahoo and Google. The end result is a radically different model that brings unparalleled firepower at the seed stage to solve the biggest entrepreneur pain points.  Our distributed network approach provides expert advice from some of the world's best entrepreneurs, product & engineering leaders in virtually every key discipline and industry.  We have developed a first of its kind centralized infrastructure to help with recruiting exceptional talent, business development, customer acquisition as well as educational & community events.  We don’t follow the crowd, and almost always lead our investment rounds as the first institutional investors in exceptional companies. You can read more about SignalFire at: https://medium.com/signalfire-fund

Founding Partner & Head of Data Science

UC Berkeley

Data Science W205. Storing and Retrieving Data

Lecturer

Drawbridge, Inc.

- Architected and implemented a scalable machine learning system capable of training on terabytes of data, billions of samples, and millions of features on a daily basis.
- Responsible for end-to-end development of click through rate, conversion rate, revenue, goal delivery, and pacing models. Led feature engineering, model tuning, A/B testing and development of both offline model training and runtime application of models in real-time.
- Designed multi-armed bandit system for explore/exploit of campaigns and adaptive budget pacing.
- Developed large-scale systems for cross device matching and metrics for measuring precision and recall. Co-inventor on patent for determining related identities across multiple devices.
- Gave talks at RecSys 2013 and Hadoop Innovation Summit 2013

Lead Data Scientist

Yahoo!

Yahoo! Labs - Relevance Sciences.  Working on large scale ranking and recommendation systems.

- Worked on user profiles for personalized news recommendation as part of the CORE sciences team. 
- Talk on "Gradient Boosted Decision Trees on Hadoop" at NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds.
- Yahoo! Super Star 2009 Relevance Ranking team member, the highest honor within Yahoo!
- Short paper "Stochastic Gradient Boosted Distributed Decision Trees" accepted at CIKM 2009 in Hong Kong, China
- Presented a paper at Tech Pulse 2008, two papers at Tech Pulse 2009, a poster at Tech Pulse 2010, and an accepted poster at Tech Pulse 2011.
- 3 U.S. Patent Applications

Senior Research Engineer

Yahoo! Inc.

Technical Yahoo! Intern

University of California, Berkeley

Researcher working on natural language processing, extraction, and classification on a biology corpus.

Graduate Student Researcher

Machine Learning and document classification.

Web crawler optimization and document classification.

Advanced Micro Devices

Developed internal mailing list management system with automated generation of lists for different organizations and projects.

Co-op Engineer

Research scientist/engineer with background in large scale data mining, machine learning, natural language processing, and information retrieval.  Interested in problems where there is a convergence of the above areas. Currently dabbling in venture capital.

Specialties: Machine Learning, Information Retrieval, Large Scale Data Mining, Spark, Hadoop, MPI, Recommendation Systems.

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