David Nola
Frontend DeveloperDeep Learning Solutions Architect @ NVIDIA
NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning Solutions Architect @ NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Think Big. Train Fast. Learn Deep.
UCLA
Master of Science (M.S.), Computer Science
January 1, 2015 – January 1, 2017
Santa Clara University Leavey School of Business
Bachelor of Science, Finance and Computer Science (Double Major)
January 1, 2010 – January 1, 2015
NVIDIA
Deep Learning Solutions Architect
May 1, 2017 – Present
Santa Clara, CA
NVIDIA
Deep Learning Solutions Architect Intern
June 1, 2016 – August 1, 2016
Santa Clara University
REU Program - Paid Student Research
May 1, 2014 – September 1, 2014
Santa Clara, CA
Delta Sigma Pi - Gamma Xi Chapter
President
June 1, 2012 – February 1, 2013
Santa Clara University
FileMaker
Release Engineer
June 1, 2012 – March 1, 2015
Santa Clara
Amussen, Hunsaker & Associates Inc.
Financial Analyst Intern
October 1, 2009 – June 1, 2010
Salt Lake City, Utah
Sorenson Communications
Junior Data Analyst
June 1, 2009 – August 1, 2009
Salt Lake City
PyDeconv – a DeConvNet library (Python)
December 1, 2015 – Present
- Applied analytical and technical skills to develop an automated language agnostic tool to take a pre-trained convolutional neural network’s weights and use them to show which parts of an input image are most discriminative
Simulated Evolution of Birdsong (Python)
November 1, 2015 – Present
- Developed, implemented and experimented on a recurrent neural network based genetic algorithm used to demonstrate the necessary conditions for birdsong to evolve
Unsupervised Event Modeling on Twitter (Python)
June 1, 2014 – Present
- Generated visualizations of events on Twitter over any given two week period using unsupervised clustering techniques and topic modeling - Used Amazon EMR for natural language processing tasks across thousands of articles
Cultural Fit Analysis
The candidate's project history and professional experience are heavily skewed towards Deep Learning, Machine Learning, and backend/infrastructure roles (Solutions Architect, Release Engineer). The target role is 'Frontend Developer'. This represents a significant mismatch in technical focus and career trajectory. While the candidate has a strong technical background, their specific expertise does not align with typical frontend development requirements, indicating a low cultural fit for a dedicated frontend role without a clear transition plan or demonstrated frontend skills.
Soft Skills & Operational Fit
The candidate's experience as President of Delta Sigma Pi and a Release Engineer at FileMaker suggests strong leadership, organizational, and communication skills. The description of building and managing a build system indicates proactivity and problem-solving abilities. However, the provided data does not offer direct insights into stress handling or team collaboration beyond leadership roles.