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Software Engineer at Gridraster Inc.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Gridraster Inc.
Data Scientist
June 16, 2026 – Present
awesome-computer-vision
May 21, 2022 – May 21, 2022
awesome-computer-vision — GitHub repository
View Projectawesome-RLCV
April 29, 2019 – April 29, 2019
A curated list focusing on all the ongoing research work in *Reinforcement learning cum computer vision* domain
View Projectawesome-virtual-reality
December 2, 2018 – December 4, 2018
A curated list of VR resources
View Projectmy_dl_projects
October 30, 2018 – October 30, 2018
These small individual projects was the part of my DeepLearning.ai Specialization on Coursera
View Projectmy_personal_dl_projects
July 5, 2018 – July 5, 2018
Projects completed while taking DeepLearning.ai Specialization on Coursera
View ProjectQuality-Optimization-of-Steel
January 22, 2017 – December 29, 2016
The repository contains code associated with the project "Optimization of Properties of Hot-rolled Steel" supervised by Prof. Pabitra Mitra and Itishree Mohanty, Research and Development, Tata Steel
View ProjectQuality-Optimization-of-Steel
November 2, 2016 – March 14, 2017
The repository contains code associated with the project "Optimization of Properties of Hot-rolled Steel" supervised by Prof. Pabitra Mitra and Itishree Mohanty, Research and Development, Tata Steel
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on Deep Learning and Data Science. While relevant to the target role, the diversity of projects and technologies is somewhat limited. The 'awesome-virtual-reality', 'awesome-computer-vision', and 'awesome-RLCV' projects are curated lists rather than implemented solutions, which limits insight into practical application. The single professional experience is current, but no details are provided regarding responsibilities or achievements. This suggests a moderate cultural fit, with potential for growth if practical application and broader collaboration are demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.