Staff Software Engineer
CurrentHigh-speed geometric algorithms, concurrent data structures. Very fast sorting.
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@rms.com
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3 phones found area 617 and 800
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Steve U. is listed as numbers numbers numbers at RMS, a with 4183 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at rms.com, phone signal with area code 617, 800, and a matched LinkedIn profile for Steve U..
Steve U. previously worked as Staff Software Engineer at Rms and Principal Scientific Programmer at Rms. Steve U. holds Phd, Computer Science And Engineering from State University Of New York At Buffalo.
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I enjoy using my problem-solving, math and programming skills to work on interesting real-world problems. I enjoy data analysis, algorithm development and implementing my ideas. I prefer real-world optimization problems over proof-of-concept implementations, and freeform modeling (treating each dataset as unique) over plug-and-chug approaches. I believe that the simplest possible effective model is the best first tool for the job.I'm currently working on performance engineering to support financial calculations for the insurance and reinsurance industries. We estimate the financial impact of severe weather events (hurricane, flood, fires, earthquakes, etc.) on buildings to give insurers a better understanding of their financial liability.Previous jobs have included designing models for preordering sales leads (+74% conversion), maritime safety (+45% predictiveness), marketing spending (+35% efficiency), early fraud warning (-65% in fraud) and systems design.
Listed skills include Algorithms, Programming, Perl, C, and 22 others.
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San Francisco, California, United States
High-speed geometric algorithms, concurrent data structures. Very fast sorting.
San Francisco, California, United States
High-speed financial calculations and data structures.
San Francisco, California, United States
I implemented and helped to design cool high-speed mixed first and second-price auction technology for marketplaces and their vendors, including budget pacing, autobidding, quality scoring, and dynamic goal setting for ROAS.
Managed three data engineers combining data sources from third party products (Salesforce, Hubspot, Stripe, Chargebee), and source types (Segment, Aurora) into a queryable warehouse (Redshift) on top of a shifting landscape of active schema changes (Ruby on Rails, Salesforce) and changing business priorities.
Built a predictive model to preorder sales leads that resulted in a +74% conversion rate over the previous unordered process. Built models for rank ordering active accounts and sales opportunities in progress, and evaluating the health of individual accounts. Built models for Event (product) success that outperformed NPS (surveys) for predicting business outcomes by +55%.Discovered business process changes worth +64% ARR for over 30% of business volume.
San Francisco Bay Area
Built low-level lock-free and partially locking math libraries for error-correcting, error-detecting, and erasure-correcting codes, in particular Reed Solomon and XOR-only codes with a wide range of symbol sizes. The product is a thin, transparent layer on top of UDP that gives drop resilience. Other applications are possible. This was mostly to learn golang and for fun.
San Francisco Bay Area
Designed and taught basic data science, math and computer science topics and seminars in the asia-pacific region, europe, and the united states, both in-house and for the public.Built a maritime-safety classifier that mixed time series from disparate sources with different time synchronization schedules indexed on the same key to build a fixed-timeline classifier.Built a weather-sensitive, clustering regression model for monitoring energy usage of utility customers.Developed a confidence-interval based layer to logistic regression for ranking risk among classes with unbalanced representation. (High-risk events in the maritime industry)
San Francisco
Applied ML & stats techniques to fraud ranking (i.e. which customers were most likely to commit fraud in the future).The backend implementation was similar to a conjunctive normal form filter, so I found all of the separating planes for the logistic regression model (i.e. cutoff combinations that crossed the decision boundary) and turned it into a series of logical statements to check.
Palo Alto, Ca
I found a way to cut 30% of the expense of google adwords marketing without reducing customer lifetime value or volume of new customers. This was altered for other marketing channels and products as well, including facebook, sales via the mobile app, etc.I found a business process change in the sales department that pointed to a large gain possible from altering the way that we sold our deals to merchants.I double-checked and sanity-checked experimental results by carefully looking at segmentation, the conditions of the A/B experiments involved, etc.
Buffalo, Ny
Research in error-correcting codes, fault detection and provable statements about data storage. Defended Dissertation on 12/13/2012. Awarded in Feb, 2013.Research Assistant, 2007-2012Teaching Assistant, Fall 2009, Intro to Computational ComplexitySummer Research Internships, 2008 and 2011
Palo Alto, Ca
Intern in the SIMPL storage research group at HP Labs. Worked on a complexity project and a systems project, both related to NoSQL storage.
Santa Clara, Ca
Wrote a sampling data deduplicator in C for estimating compresibility. Also wrote code in C using FFTs of symbol entropy for the same purpose.
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Usha Mahendroo
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Loman Kelly
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Pamela Yahuaca
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Activities and Societies: Go ClubAlgorithms, Theory of Error-correcting codes, Complexity Theory.
Activities and Societies: Water Polo, SwimmingMathematics degree with a concentration in Number Theory and Algebra. Art degree.
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Steve U. works for RMS.
Steve U. is listed as numbers numbers numbers at RMS.
AeroLeads has found 1 work email signal at @rms.com for Steve U. at RMS.
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Steve U. is based in San Francisco, California, United States while working with RMS.
Steve U. has worked for Rms, Topsort, Hopin, Open Source Library Building, and Dnv Gl.
Steve U.'s colleagues at RMS include Usha Mahendroo, Robert Hartley, Kimberly Maiese, Freddy Santaven, and Jannie Staden.
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Steve U. holds Phd, Computer Science And Engineering from State University Of New York At Buffalo.
Steve U. is listed with skills including Algorithms, Programming, Perl, C, Machine Learning, Data Analysis, Algorithm Design, and Computer Science.
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