David Moskowitz
Frontend DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
I am a Computer Science PhD and data scientist with over 20 years’ experience in AI and software engineering. I have consulted for companies such as General Electric, where my work was featured in a CBS 60 Minutes profile of GE CEO Jack Welch. Some of my other work has been profiled in The New York Times, The Wall Street Journal, Money, and the Sarasota Herald Tribune. I have also been interviewed live on Fox Business Network's America's Nightly Scoreboard and CNBC’s Squawk Box. I completed my PhD in Computer Science at Nova Southeastern University in 2016. My dissertation proposed improved techniques for genetic programming and time series prediction, with applications in stock market forecasting. I hold BS and MS degrees in Civil Engineering from Carnegie Mellon and an MS in Computer Science from New York Institute of Technology. While at Carnegie Mellon, I spent a year studying at Ecole Polytechnique Federale de Lausanne, in Lausanne, Switzerland. I also attended the renowned Bronx High School of Science, where I was a member of the National Honor Society (ARISTA).
Nova Southeastern University
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2010 – January 1, 2016
New York Institute of Technology
Master’s Degree, Computer Science
January 1, 1990 – January 1, 1992
Carnegie Mellon University
Master’s Degree, Civil Engineering
January 1, 1988 – January 1, 1989
EPFL
Génie Civil
January 1, 1985 – January 1, 1986
Carnegie Mellon University
Bachelor’s Degree, Civil Engineering
January 1, 1983 – January 1, 1987
Bronx High School of Science
High School, Math and Science
January 1, 1980 – January 1, 1983
JPMorgan Chase & Co.
Vice President, Applied AI Machine Learning Lead
September 1, 2021 – Present
JPMorgan Chase & Co.
Vice President, Software Engineering
October 1, 2018 – September 1, 2021
Ned Davis Research, Inc.
Market Data Architect
January 1, 2011 – September 1, 2018
Venice Florida and Stamford Connecticut
Sarasota Java Users Group
Chairman
January 1, 2007 – January 1, 2015
Sarasota, Florida
Domuswap.com
Founder and Developer
January 1, 2006 – January 1, 2013
Sarasota, Florida
Infoblazer, LLC
Owner and Java/Artificial Intelligence Consultant
January 1, 2003 – Present
North Port-Sarasota Area
SplitTheDifference, Inc.
VP Software Development and Engineering
January 1, 2000 – January 1, 2001
New Haven, Connecticut
General Electric
Consultant
January 1, 1998 – January 1, 2002
Fairfield, Connecticut
Keane, Inc.
Senior Consultant
January 1, 1995 – January 1, 1997
Darien, Connecticut
Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Stanford University
June 24, 2026 – Present
Parallel Programming in Java
Rice University
June 24, 2026 – Present
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Stanford University
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Distributed Programming in Java
Rice University
June 24, 2026 – Present
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Stanford University
June 24, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Parallel, Concurrent, and Distributed Programming in Java Specialization
Rice University
June 24, 2026 – Present
Algorithms Specialization
Stanford University
June 24, 2026 – Present
Graph Search, Shortest Paths, and Data Structures
Stanford University
June 24, 2026 – Present
Concurrent Programming in Java
Rice University
June 24, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, including founding a startup and chairing a Java User Group, which suggests an entrepreneurial spirit and community involvement. Their long tenure at companies like JPMorgan Chase and Ned Davis Research indicates stability. However, the target role is 'Frontend Developer', while the candidate's experience is heavily backend, data, and AI-focused. This misalignment suggests a potential cultural fit challenge for a dedicated frontend role, as their primary interests and expertise may lie elsewhere. The breadth of skills is high, but the relevance to the specific target role is low.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (VP, Market Data Architect, Founder, Owner, VP Software Development) suggests strong leadership, project management, and problem-solving skills. Their involvement in user groups and consulting indicates a proactive and collaborative approach. However, without psychometric test results or interview data, a definitive assessment of stress handling, work attitude, and team collaboration is not possible.