Introduction and Interest in Contributing to OpenVINO (GSOC 2026)

[Rohit-Desale-22]

Hello OpenVINO maintainers and community members 👋

My name is Rohit Desale, and I’m a second-year undergraduate student at the Indian Institute of Technology Bombay. I’m writing to introduce myself and to express my interest in contributing to OpenVINO as part of my preparation for Google Summer of Code 2026.

I am currently at a beginner level in machine learning and data science, and I’m actively building my fundamentals through coursework and hands-on practice. I have experience working with Python, C++, JavaScript, and HTML, and I’m comfortable with web development and general software development workflows. As part of my ML/DS learning, I regularly use NumPy, pandas, Matplotlib, and scikit-learn for basic data analysis and introductory machine learning tasks.

I’m particularly interested in learning how ML models are optimized, deployed, and executed efficiently in real-world systems, which is what attracted me to OpenVINO and its focus on inference performance and practical deployment. I’m keen to understand how such systems are designed and maintained at scale.

While I am new to open-source contributions, I’m motivated to learn proper open-source workflows, including issue tracking, pull requests, and code reviews. My current goal is to start with beginner-friendly contributions—such as documentation improvements, tests, small fixes, or exploratory tasks—and gradually move toward more technical contributions as I gain familiarity with the codebase.

I would really appreciate guidance on:

how to get started with contributing to OpenVINO

repositories or components that are suitable for beginners

recommended starter issues or learning paths

best practices for communicating with maintainers and contributors

I’m committed to learning from feedback, contributing consistently, and growing as an open-source contributor over time.

Thank you for your time and for maintaining such an impactful open-source project. I’m excited to learn more and contribute wherever I can.