Help & Supportcareers@gravityer.com
I'm a student of technology. I just love to keep learning new technology. I want to learn to code. I want to contribute to many projects and keep learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
port-scanner-v1
April 15, 2026 – Present
This is a simple port scanner built using Python script.
View Projectlinux-fundamentals
December 17, 2025 – Present
This repo is for documenting each and every learning about Linux. It will include readme files, code files, screenshots and more.
View Projectmcp-builder-guide
November 15, 2025 – November 15, 2025
mcp-builder-guide — GitHub repository
View Projectchat-application
July 22, 2023 – July 22, 2023
A basic chat application for internal communication.
View Projectimage-classifier-using-deep-learning
August 2, 2022 – August 2, 2022
image-classifier-using-deep-learning — GitHub repository
View Projectcustomer-segmentation
August 2, 2022 – August 2, 2022
This is a project based on Unsupervised Machine Learning method. It clusters the data points, in the chosen dataset, into different groups using the K-Means Clustering algorithm. This created clusters can be used to study the dataset more deeply.
View Projectclassification-of-handwritten-digits
January 14, 2022 – January 25, 2022
This is a neural networks project using Keras and MNIST dataset. This is sort of a "Hello world!" project of machine learning domain.
View ProjectCultural Fit Analysis
The candidate shows a broad interest in various technical areas through personal projects, which could indicate adaptability and a willingness to explore new domains. However, the projects are mostly foundational or exploratory, suggesting a learning phase rather than deep, production-level experience. The diversity of projects (web, scripting, ML) indicates a curious mindset, which can be a positive cultural fit for an environment that values continuous learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.