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Carnegie Mellon University
Backend Engineer
June 25, 2026 – Present
slash
April 26, 2017 – October 11, 2017
Teaching neural networks how to play guitar: Generating guitar solos with samplernn.
View Projecthdnn
January 28, 2017 – January 28, 2017
Hierarchy of deconvolution nets for car detection in aerial photographs
View Projectlrpr
February 10, 2016 – February 21, 2017
Learning representations for Place Recognition
View Projectrcnn
November 15, 2015 – January 26, 2017
Multiscale recurrent convolutional neural networks for Scene Labelling
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic and research-oriented machine learning and computer vision tasks. While demonstrating strong technical depth in these areas, the direct relevance to a general 'Backend Engineer' role in a typical industry setting is limited. The current experience at Carnegie Mellon University as a 'Backend Engineer' is listed as current with a future start date, making it difficult to assess actual professional experience in a backend role. This suggests a potential mismatch with standard backend engineering cultural expectations without further clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.