CS Student. Learning to Code. Undergrad at VIT-Bhopal.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CyberArk
React Frontend Engineer
June 13, 2026 – Present
Semantic-Seg-API-Tensorflow
January 19, 2024 – March 16, 2024
Repository for Semantic Segmentation API - Tensorflow backed model.
View ProjectBackend-SSPSDLFAM
December 30, 2023 – May 13, 2024
Repository for Semantic Segmentation API, Capstone Project.
View ProjectFrontend-SSPSDLFAM
December 26, 2023 – May 13, 2024
Frontend-SSPSDLFAM — GitHub repository
View Projectproxy-server-python
December 20, 2023 – December 20, 2023
proxy-server-python — GitHub repository
View Projectbotanic-mixed-set
December 1, 2023 – December 1, 2023
A Simplified Plant Image Segmentation Dataset for Effective Benchmarking.
View ProjectNN-CPP
October 19, 2023 – October 22, 2023
A simple Neural Network for MNIST Dataset. Implemented in C++.
View ProjectRLE-To-PNG
September 5, 2023 – November 7, 2023
A utility script to convert Run-Length-Encoded Binary Masks from Darwin 2.0 JSON to PNG.
View ProjectDeepLabV3Plus-PyTorch
July 31, 2023 – February 15, 2024
A DeepLab V3+ Model with ResNet 50 Encoder to perform Binary Segmentation Tasks. Implemented with PyTorch.
View ProjectDeepLabV3-Segmentation
July 20, 2023 – September 15, 2024
A DeepLab V3+ Model with choice of Encoder for Binary Segmentation. Implemented with Tensorflow.
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards Python and machine learning/deep learning, which deviates significantly from the target 'React Frontend Engineer' role. While there are a few frontend projects, the majority of personal work is in a different domain. This suggests a potential mismatch in core interests and a need to validate commitment to frontend development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test scores or interview feedback provided.