Neil Mallinar
ML EngineerAI 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
Ph.D. | Research Scientist at Pryon Inc
Completed my PhD in Computer Science in December, 2025 from the University of California San Diego, where I researched machine learning and deep learning theory with Misha Belkin. I spent my summers in grad school at Simons Institute for Theory of Computing and as a PhD Research Intern at Microsoft Research New England and Google Research. Previously, I worked as an AI Research Engineer at Pryon on problems in the natural language and vision space as it relates to document understanding, question-answering, and information retrieval. Before that I spent time at IBM on a Watson team doing natural language processing for labeling and augmentation of text dataset, weak supervision in active learning, as well as research on acoustic modeling in hybrid speech recognition systems. I graduated with a B.S. from Johns Hopkins University as a double major in Computer Science and Mathematics. My undergraduate thesis was in representation learning with a focus on speech recognition.
UC San Diego
Doctor of Philosophy - PhD, Computer Science
September 1, 2020 – December 1, 2025
The Johns Hopkins University
Bachelor’s Degree, Mathematics and Computer Science
August 1, 2012 – May 1, 2016
Pryon
Research Scientist
February 1, 2026 – Present
San Francisco, CA
PhD Research Intern
June 1, 2024 – December 1, 2024
Mountain View, California, United States · On-site
Microsoft
PhD Research Intern
June 1, 2023 – September 1, 2023
Cambridge, Massachusetts, United States · On-site
Broad Institute of MIT and Harvard
Eric and Wendy Schmidt Center PhD Fellow
January 1, 2022 – December 1, 2025
San Diego, California, United States · Remote
Pryon
AI Research Engineer
August 1, 2019 – December 1, 2020
New York, New York · On-site
IBM
Machine Learning Software Engineer
August 1, 2016 – July 1, 2019
New York, New York · On-site
IBM
Extreme Blue Technical Intern
May 1, 2015 – December 1, 2015
Austin, Texas Area · On-site
NASA Ames Research Center
Intern
June 1, 2013 – August 1, 2013
Mountain View, CA · On-site
InCaptus
Co-Founder and Developer
February 1, 2013 – September 1, 2014
Mountain View, CA
Johns Hopkins University Triple Helix
Web Developer
September 1, 2012 – May 1, 2013
California Language Teacher's Association
Web Developer
July 1, 2012 – October 1, 2012
Womp.in
Co-Founder and Developer
January 1, 2012 – June 1, 2013
Mountain View
CollabRx
Intern
July 1, 2011 – September 1, 2012
Manoukian Medical Group
Information Technology Consultant
July 1, 2011 – February 1, 2012
2500 Hospital Drive, Building 4
Kumon
Homework Helper
March 1, 2011 – January 1, 2012
Lightfish
Developer
January 1, 2010 – September 1, 2011
Cultural Fit Analysis
The candidate's diverse experience across academia (PhD, research internships), large corporations (Google, Microsoft, IBM), and startups (Pryon, InCaptus, Womp.in) indicates adaptability to various organizational cultures. The research focus aligns well with an innovative, data-driven environment. However, the lack of explicit project details or contributions beyond role descriptions makes it difficult to fully assess alignment with specific team dynamics or values.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder at InCaptus and Womp.in, along with roles at IBM Extreme Blue, suggests strong initiative, collaboration, and project management skills. The description of pitching ideas to executives indicates good communication and presentation abilities. However, without specific psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is limited.