Rohit Mandal is an independent AI developer and mentor with 7 years of hands-on experience building scalable machine learning systems and Python tooling. He maintains a popular open-source AI/Python ecosystem with 2.6K+ GitHub stars and 800+ forks, and has shipped 50+ compact Python applications that demonstrate practical end-to-end utility. Rohit has taught and mentored thousands globally — serving as a Stanford Code in Place section leader and privately guiding students in data structures, ML, and interview prep. His applied research includes Springer-published work on Alzheimer’s detection from MRI and CNN-driven smart agriculture, reflecting a bridge between academia and production. He combines real-world industry exposure from internships at Jio, IBM, and ML startups with a knack for creating learner-focused developer tools and content that has reached audiences on GitHub and YouTube. Currently based in India, he’s advancing toward research-driven ML systems through graduate study in computer science.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Technology, Computer Science and Technology, Bachelor of Technology, Computer Science and Technology at University of Engineering & Management (UEM)
Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
Role in this project:
Full-stack Developer
Contributions:5 reviews, 125 commits, 40 PRs in 2 years 1 month
Contributions summary:Rohit contributed to a variety of Python-based applications, including a birthday reminder, voice recorder, PDF manipulation tools, and a link shortener. Their work demonstrates a focus on building mini-projects with Python, utilizing libraries such as PyPDF2, sounddevice, pyshorteners, and win10toast. The contributions showcase the user's ability to implement diverse functionalities, encompassing both backend logic and basic user interaction through features like notifications and terminal utilities.
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