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arjun-reviewer
May 19, 2026 – Present
AI-powered code review automation tool using Ollama and LangChain
View Projectboring-launcher
April 4, 2026 – Present
A minimalist, intentional, and open-source Android launcher built with Flutter. Designed to reduce screen time and help you stay mindful of your digital habits.
View Projectmy-jenkins-pipeline-project
September 16, 2025 – September 16, 2025
my repo for testing out jenkins workflow
View Projectroaming-rise
March 2, 2024 – March 16, 2024
Roaming Rise is an innovative alarm clock application designed for travelers who need to wake up on time regardless of their location. With Roaming Rise, you can set alarms that automatically adjust based on your current geographical coordinates, ensuring you never miss an important appointment or adventure while on the move.
View ProjectVisual-Inspection-For-Industries_BE-Project
April 30, 2022 – April 30, 2022
We have made this project with the help of Python, Tensorflow, OpenCV, CNN and sklearn. With the help of system user can easily classify perfect and faulty product in the set of given product.
View ProjectGloboFly
March 17, 2022 – March 17, 2022
Updates GloboFly with ViewBinding and MaterialDesign
View ProjectKotlinMessenger-version0.1
July 27, 2021 – August 17, 2021
KotlinMessenger-version0.1 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from mobile development (Android launcher, alarm app, messenger) to AI/ML and basic Java/Kotlin projects. This breadth suggests adaptability and a willingness to explore different technologies. However, the projects are primarily personal and lack detailed descriptions of team collaboration or impact, making it difficult to fully assess cultural fit in a professional team setting. The target role is 'Data Scientist', and while there are relevant AI/ML projects, the overall portfolio is quite broad, indicating a potential need to focus on data science specific skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.