Neil Ostrove
Backend EngineerRetired
Coursera
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Retired
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am doubly retired from Chemical Abstracts Service and Bell Labs.
The Ohio State University
M.S., Computer & Information Science
January 1, 1995 – January 1, 1997
Yale University
Ph.D., Physics
January 1, 1972 – January 1, 1979
University of Chicago
S.B., Mathematics
January 1, 1968 – January 1, 1972
Stanford University
Volunteer Section Leader Stanford Code in Place 2023
April 1, 2023 – June 1, 2023
Coursera
Volunteer Mentor (Machine Learning)
October 1, 2017 – Present
CAS
Senior Systems Engineer
August 1, 2005 – September 1, 2015
Robert Half Technology
Software Development Contractor
January 1, 2003 – January 1, 2005
Columbus, Ohio Area
EC Outlook Inc
Senior Web Developer
January 1, 2001 – January 1, 2002
The Ohio State University
Adjunct Lecturer
January 1, 1998 – January 1, 2002
AT&T Bell Laboratories
MTS
January 1, 1978 – January 1, 2001
Bell Labs/Lucent Technologies
MTS
January 1, 1978 – January 1, 2001
Programming Cloud Services for Android Handheld Systems
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Pattern-Oriented Software Architectures: Programming Mobile Services for Android Handheld Systems
Coursera
June 24, 2026 – Present
Cryptography I
Coursera
June 24, 2026 – Present
Code in Place 2023
Stanford Online
June 24, 2026 – Present
An Introduction to Programming the Internet of Things (IOT)
Coursera
June 24, 2026 – Present
Introduction to Functional Programming
edX
June 24, 2026 – Present
Programming Mobile Applications for Android Handheld Systems
Coursera
June 24, 2026 – Present
Quantum Mechanics and Quantum Computation
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse educational background and long career span, including academic and industry roles, suggest adaptability. Their volunteer work in education (Stanford Code in Place, Coursera) indicates a proactive and community-oriented mindset. However, the lack of recent, detailed project experience makes it challenging to fully assess alignment with modern agile development cultures or specific team dynamics.
Soft Skills & Operational Fit
The candidate's volunteer mentoring roles suggest strong communication and collaboration skills. Their long tenure at previous companies indicates reliability and commitment. However, without specific project details or descriptions of their contributions, it is difficult to assess operational fit beyond general engineering roles.