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Research Scholar at IIT Ropar
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Technology Ropar
Data Scientist
June 17, 2026 – Present
YDM-SLAM
May 3, 2024 – Present
YDM-SLAM: YOLOv8-powered Dynamic Mapping of Environment using ORB-SLAM3 | Implemented only for RGB-D
View ProjectFeature-Detector-and-Descriptor
July 30, 2023 – August 24, 2023
This is my personal repo dedicated to Feature Detection, Descriptor, and Matching algorithms in computer vision. This repository is created to help me gain a deeper understanding of fundamental techniques such as SIFT, SURF, FAST, BRIEF, and ORB, and to sharpen my skills in computer vision.
View ProjectOpenCV-CPP
June 21, 2023 – July 8, 2023
This repository is related to OpenCV-C++ Course that I learned from www.computervsion.zone
View ProjectArduino-Projects
January 21, 2021 – December 30, 2022
This repository contains all my basic arduino projects which will help you to learn & practice own your own.
View ProjectCS50-Problems
October 1, 2020 – January 20, 2021
Solution to the problem sets of Harvard's CS50 'Introduction to Computer Science & Art of Programming'.
View ProjectSimple-Facial-Recognition-Attendance-System
September 25, 2020 – March 9, 2021
In this project, we aim to build an automated system using Face Recognition that will replace the traditional methods of Attendance taking.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in technical domains. The diversity of projects, from computer vision to web development (Django), suggests adaptability. However, the lack of team-based or collaborative project descriptions makes it difficult to fully assess cultural fit in a professional team environment. The target role is Data Scientist, and many projects align with this, particularly in the computer vision sub-domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no interview or behavioral assessment data is available.