Meetali Vaidya
ML EngineerSoftware Engineer at Google
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Purdue University
Master’s Degree, Computer and Information Technology
January 1, 2015 – January 1, 2017
MKSSS Cummins College of Engineering for Women
Bachelor of Engineering (B.E.), Information Technology
January 1, 2010 – January 1, 2014
Software Engineer
March 1, 2019 – Present
San Francisco Bay Area
Veritas Technologies LLC
Software Engineer - Machine Learning
June 1, 2017 – February 1, 2019
San Francisco Bay Area
Veritas Technologies LLC
Software Engineering Intern
June 1, 2016 – Present
San Francisco Bay Area
Purdue University
Research Assistant
August 1, 2015 – June 1, 2017
United States
Symantec
Associate Software Engineer
July 1, 2014 – July 1, 2015
Pune Area, India
RRCAT
Project Trainee
December 1, 2012 – December 1, 2012
Indore Area, India
Airlines Delay Comparision and Analysis
September 1, 2015 – December 1, 2015
Flight on-time performance analysis using Hadoop MapReduce framework.
Intelligent Network Monitoring Agent for a Virtual Switch in a Virtual Data Center
October 1, 2013 – May 1, 2014
Project in the field of Software Defined Networking was implemented using C, Java. Involved implementing OpenFlow protocol based interfaces to connect to virtual instances of security module running in a virtual data center using Open vSwitch
Cultural Fit Analysis
The candidate has experience in both large corporations (Google, Symantec) and academic research settings (Purdue University), indicating adaptability to different work environments. However, the project descriptions are brief and lack detail on collaborative aspects or specific team contributions. The target role is ML Engineer, and the candidate has direct ML experience, which aligns well. The diversity of projects (Hadoop, SDN, web security) shows a broad technical interest, but specific contributions to open-source or community projects are not detailed.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.