Karishma Gulati
Big Data EngineerEngineering Manager at Spotify
Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering Manager at Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of California, Berkeley
Master of Engineering - MEng, Computer Science
January 1, 2017 – January 1, 2018
Vellore Institute of Technology
Bachelor of Technology (B.Tech.), Computer Engineering
January 1, 2010 – January 1, 2014
Spotify
Engineering Manager II
January 1, 2022 – Present
Spotify
Road Manager | Wrapped'21
July 1, 2021 – January 1, 2022
Spotify
Senior Data Engineer
January 1, 2021 – July 1, 2021
Spotify
Data Engineer II
July 1, 2018 – January 1, 2021
University of California, Berkeley
Graduate Student - MEng’18 (EECS)
August 1, 2017 – May 1, 2018
Berkeley
Sabre Corporation
Data Engineer II
August 1, 2016 – July 1, 2017
Bengaluru Area, India
InMobi
Software Developer
July 1, 2014 – July 1, 2016
InMobi
Intern
January 1, 2014 – June 1, 2014
Visualising Deep Neural Networks
August 1, 2017 – Present
Working with Prof. John Canny to build tools that will enable visualisation of trained deep neural networks, in order to better understand what each layer of the neural network has learnt.
Trip Ease
January 1, 2016 – Present
Winner of HackerEarth - IndiaHacks - Travel & Transport Hackathon 2016. https://www.hackerearth.com/sprints/travel-and-transportation-india-hacks-2016/
RocketBazaar
September 1, 2015 – January 1, 2016
Android application to enable a rocket-fast delivery service
Cultural Fit Analysis
The candidate has a strong background in large tech companies (Spotify, InMobi, Sabre) and a top-tier academic institution (UC Berkeley). The project diversity, including Android development, hackathon participation, and deep neural network visualization, indicates a broad interest and ability to adapt to different technical challenges. The progression from individual contributor to management roles at Spotify suggests ambition and leadership potential. However, the lack of specific technologies listed for personal projects makes it difficult to fully assess the breadth of hands-on technical skills relevant to a Big Data Engineer role beyond their professional experience.
Soft Skills & Operational Fit
The candidate's progression to Engineering Manager and Road Manager roles at Spotify suggests strong leadership, project management, and cross-functional collaboration skills. The description for 'Road Manager | Wrapped'21' highlights responsibility for roadmap, tech delivery, and cross-functional work, indicating operational effectiveness. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.