David Lundgren Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca, Us

Advise engineering leadership on building scalable, effective machine learning teams and systems.

San Francisco, California, Us

2020* Developed buyer (re)-engagement products based on customer interviews and data analyses.* Engineered an optimization framework for trading off risk & profit for resale pricing guidance.2019* Launched similar listings & recommended listings emails.* Performed model temporal stability and sensitivity analyses & shipped feature engineering improvements to valuation models.* Led a working group of 8 senior individual contributors and engineering managers to redesign Opendoor's engineering career ladder.2018* Shipped list price prediction & recommendation model* Shipped new valuation models2017* Tech Lead - ProjectionsBuilt inventory holding time risk management & home liquidity systems.* Systems Lead - Resale Pricing & Revenue OptimizationBuilt system for simulating resale policies & understanding list pricing behavior.2016* Tech Lead - Opendoor Valuation ModelShipped Opendoor's home pricing/valuation models and associated risk/confidence scores.

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 relevanceRelated Artist Recommendations* Implemented evaluation framework and internal machine learning models for related artist recommendationsPlaylisting Models* Implemented models for algorithmic playlisting (i.e., "Stations")

New York, Ny, Us

Participated in a three month self-directed learning retreat for programmers in NYC.

Champaign, Il, Us

* Summarizing Argumentative TextAutomatically summarize reasons from argument/debate texts in support of/opposition to particular viewpoints.* Arabic Semantic Role LabelingManaged two students in an Arabic Semantic Role Labeling (SRL) project that explored incorporating linguistically-motivated features into existing supervised learning frameworks.* Opinionated SummarizationLeveraging user comments to identify and extract important opinionated and controversial statements from editorials.* Causal Tweet RetrievalBuilt a search engine for retrieving tweets causally relevant to a query (via PMI, BM25, and Python).* Detection of Argumentative TextCreated a classifier to identify text spans as argumentative vs informational.* Statistical Spelling CheckerCreated a framework for statistical spell checking, rule-based grammar checking, and machine-learned article-error detectors.

Champaign, Il, Us

* 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.

Binghamton, Ny, Us

* Helped develop a novel attack on adapted GMM speaker verification systems* Implemented a toy speaker verification system

Binghamton, Ny, Us

* Disinfected computers from viruses, spy-ware, and malware* Communicated safe and secure computing policies to clients

Binghamton, Ny, Us

* Designed and implemented unsupervised learning and parameter optimization algorithms for neural networks* Delivered presentations on cognitive science, machine learning, and neural networks

New York, Ny, Us

* 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

M.S., Computer Science

B.S., Computer Science

Semester Abroad, Computer Science