Rishabh is best described as a passionate technologist whose neurons are always solving problems on ML, AI, DSA.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MindsOnAi
Software Engineer
June 15, 2026 – Present
rusty-threads
December 2, 2024 – December 2, 2024
Rust Threads is an experimentation involving the sync, async and multi-threaded operations.
View Projectml_ops_24
April 19, 2024 – May 9, 2024
Machine Learning Operations ( Everything's there's to know )
View ProjectContribute-To-OpenSource
January 1, 2024 – January 1, 2024
A list of different repositories to make Open Source Contributions.
View Project100-Commits-Of-ML-Ops
October 28, 2023 – January 24, 2024
This is a repo about the code which I'm writing while learning Ml Ops
View Project100DaysOfCode
January 17, 2019 – January 24, 2019
100 day of code is meant to make me keep writing code for 100 days and learn new things.
View Projectexpress-scaffold
December 16, 2017 – December 16, 2017
express-scaffold is a simple project to start a new express project
View Projectcryptobazaar
November 12, 2017 – November 12, 2017
simple cryptocurrency app based on angular 4 , expressjs and coinbase api
View ProjectExpressMusic
September 7, 2016 – March 20, 2023
Simple Music Server App based on Nodejs and ExpressJS framework
View ProjectCultural Fit Analysis
The candidate shows initiative through numerous personal projects, including contributions to open source and self-learning challenges (100DaysOfCode). The project diversity indicates a willingness to explore different technologies and domains, which could align with a culture of continuous learning and innovation. However, the projects are predominantly personal and lack details on collaborative efforts or team contributions, making it difficult to fully assess cultural fit in a team environment. The target role is 'Data Scientist', but the projects lean more towards MLOps and general software development, with limited explicit data science project examples.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.