Avid Coder Aviation Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
annotater-disagreement-cifar10
April 27, 2026 – Present
annotater-disagreement-cifar10 — GitHub repository
View ProjectAutomated-Time-Table-Generation-System
February 16, 2026 – Present
This is an Automated Time Table Generation System. This is a project for Software Engineering Course in the VI Semester
View ProjectEuclidLMS
January 5, 2026 – Present
A centralised resource containing startup scripts, compose files and go to documentations for troubleshooting MU's Euclid LMS
View Projectwebtech_portfolio
November 26, 2025 – November 26, 2025
webtech_portfolio — GitHub repository
View Projectblack_hole
August 30, 2025 – September 6, 2025
A MPS optimised Black Hole Simulation written in Rust!
View Projectsocial-credit
August 7, 2025 – December 11, 2025
Digital currency system for Social Computing (CS4222), build in Next.js, ShadCN, MongoDB, TypeScript, and tRPC
View ProjectHacktober-Demo
October 3, 2024 – October 4, 2024
This repository is for demonstration of git operations
View ProjectNotepadforAviators
September 30, 2023 – January 13, 2025
Notepad for Aviators is a notepad specifically to cater the needs of aviators looking to jot down information during flight. The web app can be used for both real flights and virtual simulations.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of personal projects, from web development to systems programming (Rust) and machine learning. This indicates a broad technical curiosity and a self-starter mentality, which can be a positive cultural fit for an innovative environment. However, the projects are predominantly personal and lack details on collaboration or team dynamics. The target role is 'Data Scientist', and while there are relevant projects, the overall breadth suggests a generalist interest rather than a deep, focused alignment with data science specifics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.