Data Scientist at Opendoor.com
San Francisco Bay Area
Rdio
Staff Machine Learning Engineer
June 2013 to Present
Recurse Center (Formerly Hacker School)
Student
February 2013 to May 2013
University of Illinois at Urbana-Champaign
Research Assistant
August 2010 to May 2013
Urbana-Champaign, Illinois Area
University of Illinois at Urbana-Champaign
Teaching Assistant
August 2012 to December 2012
Binghamton University
Research Assistant
June 2010 to August 2010
Binghamton University
Residential Computer Consultant
2007 to 2010
KPMG US
IT Advisory Intern
2009 to 2009
Binghamton University
NSF-REU Summer Fellow
2008 to 2008
YouFM, Genres, and Free Radio * Implemented back end models, internal algorithms, and partner integration for new personalized "YouFM" stations, genre-based stations, and album stations. * http://www.theatlantic.com/technology/archive/2013/08/the-music-is-waiting-to-be-tapped-listening-in-the-era-of-the-stream/278466/ Search * Built search evaluation framework, re-architected existing search system bringing response times and hardware costs down while improving relevance Related Artist Recommendations * Implemented evaluation framework and internal machine... YouFM, Genres, and Free Radio * Implemented back end models, internal algorithms, and partner integration for new personalized "YouFM" stations, genre-based stations, and album stations. * http://www.theatlantic.com/technology/archive/2013/08/the-music-is-waiting-to-be-tapped-listening-in-the-era-of-the-stream/278466/ Search * Built search evaluation framework, re-architected existing search system bringing response times and hardware costs down while improving relevance Related Artist Recommendations * Implemented evaluation framework and internal machine learning models for related artist recommendations Playlisting Models * Implemented models for algorithmic playlisting (i.e., "Stations")
What company does David L. work for?
David L. works for Rdio
What is David L.'s role at Rdio?
David L. is Staff Machine Learning Engineer
What industry does David L. work in?
David L. works in the Research industry.
Who are David L.'s colleagues?
David L.'s colleagues are Tasneem Amina, Maggie Moreno, Tirza DiOro, Jon Oleson, Derek Schairer, Mark Wang, Ran Lin, Tyler Miyamoto, Stephen Collins, and Forrest Peters
📖 Summary
Staff Machine Learning Engineer @ YouFM, Genres, and Free Radio * Implemented back end models, internal algorithms, and partner integration for new personalized "YouFM" stations, genre-based stations, and album stations. * http://www.theatlantic.com/technology/archive/2013/08/the-music-is-waiting-to-be-tapped-listening-in-the-era-of-the-stream/278466/ Search * Built search evaluation framework, re-architected existing search system bringing response times and hardware costs down while improving relevance Related Artist Recommendations * Implemented evaluation framework and internal machine learning models for related artist recommendations Playlisting Models * Implemented models for algorithmic playlisting (i.e., "Stations") From June 2013 to Present (2 years 7 months) Student @ Participated in a three month experiment in NYC on self-directed learning for programmers. From February 2013 to May 2013 (4 months) Research Assistant @ * Summarizing Argumentative Text Automatically summarize reasons from argument/debate texts in support of/opposition to particular viewpoints. * Arabic Semantic Role Labeling Managed two students in an Arabic Semantic Role Labeling (SRL) project that explored incorporating linguistically-motivated features into existing supervised learning frameworks. * Opinionated Summarization Leveraging user comments to identify and extract important opinionated and controversial statements from editorials. * Causal Tweet Retrieval Built a search engine for retrieving tweets causally relevant to a query (via PMI, BM25, and Python). * Detection of Argumentative Text Created a classifier to identify text spans as argumentative vs informational. * Statistical Spelling Checker Created a framework for statistical spell checking, rule-based grammar checking, and machine-learned article-error detectors. From August 2010 to May 2013 (2 years 10 months) Urbana-Champaign, Illinois AreaTeaching Assistant @ * Taught CS 102, an introductory course designed to introduce non-computer science students to a wide range of topics in computer science. * Ran three weekly two hour lab sessions and performed various administrative tasks. From August 2012 to December 2012 (5 months) Research Assistant @ * Helped develop a novel attack on adapted GMM speaker verification systems * Implemented a toy speaker verification system From June 2010 to August 2010 (3 months) Residential Computer Consultant @ * Disinfected computers from viruses, spy-ware, and malware * Communicated safe and secure computing policies to clients From 2007 to 2010 (3 years) IT Advisory Intern @ * Automated data migration process of eleven employees * Audited IT general controls for a multinational corporation * Set-up laptops for security engagements; trained in scanning and vulnerability assessments From 2009 to 2009 (less than a year) NSF-REU Summer Fellow @ * Designed and implemented unsupervised learning and parameter optimization algorithms * Delivered presentations on cognitive science, machine learning, and neural networks From 2008 to 2008 (less than a year) M.S., Computer Science @ University of Illinois at Urbana-Champaign From 2010 to 2013 B.S., Computer Science, 3.95 @ State University of New York at Binghamton From 2006 to 2010 Semester Abroad, Computer Science @ The American University in Cairo From 2010 to 2010 David L. is skilled in: Python, C++, Java, Matlab, Ruby on Rails, C, Public Speaking, Machine Learning, LaTeX, Objective-C, Bash, Natural Language Processing, Information Retrieval, HTML, CSS
Introversion (I), Intuition (N), Thinking (T), Judging (J)
1 year(s), 5 month(s)
Unlikely
Likely
There's 89% chance that David L. is seeking for new opportunities
Issued by Binghamton University · 2010
Issued by Binghamton University · 2009
Issued by Binghamton University · 2007
Issued by Sullivan West High School · 2006
Issued by Sullivan West High School · 2006
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