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Student at PICT | Machine Learning and Computer Vision Enthusiast | Android Developer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
my-experience-forge
September 28, 2025 – October 11, 2025
my-experience-forge — GitHub repository
View Projectstreamer_application
November 23, 2024 – November 24, 2024
This repository contains code for a streamer application using OpenCV and C++
View Projectdistributed_systems_lab
April 18, 2023 – April 18, 2023
This repository contains code for assignments performed in distributed systems lab.
View Projectdeep_learning_lab
October 16, 2022 – October 31, 2022
This repository contains code for coursework of deep learning laboratory.
View Projectweb_application_development_lab
March 30, 2022 – May 10, 2022
web_application_development_lab — GitHub repository
View Projectsmart_khadda_application
November 14, 2021 – November 20, 2021
This repository contains the code for the smart city portal developed for the inter college Hackathon.
View Projectuseful-automation-bash-scripts
September 27, 2021 – September 27, 2021
The repo contains useful bash scripts to automate stuff
View Projectassignment_submission_portal
February 26, 2021 – March 16, 2021
This repository contains the assignment submission portal built for android devices.
View ProjectVision-Basics
January 12, 2021 – January 12, 2021
This repository contains basic programs related to Algorithmic Computer Vision.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a breadth of technical interests, from computer vision and deep learning to web development and distributed systems. While this indicates versatility, the projects are primarily personal and academic, making it difficult to assess alignment with a specific organizational culture or collaborative work environment. The target role is 'Data Scientist', and while there are relevant projects, the overall focus is quite broad.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.