Rohit P Mandal / ​Homepage​ / Twitter / ​LinkedIn​ / ​Google Scholar​ / ​LeetCode​ / ​YouTube​
I am an Applied Machine Learning developer focused on solving real-world problems through Python, deep learning, and open-source systems. I have served as a Stanford Code in Place Section Leader, mentoring learners in Python and computational thinking. I also independently mentor learners worldwide in programming fundamentals and problem-solving for academic and career growth in software and AI. Published research in applied machine learning, including Springer proceedings on Alzheimer’s detection using brain MRI images and CNN-based smart agriculture applications.
- Creator & Lead Maintainer of: qxresearch AI (Open-source ML & Python platform with 2,600+ GitHub stars)
- Stanford Code in Place Section Leader: Mentored global learners in Python and problem-solving ( 2023, 2024, 2026 )
- Industry Experience: IBM, Jio (training programs → offer letters), Juppiter AI Labs (internship), IEMLabs (internship)
- Independent AI & Programming Mentor: 1:1 mentoring in Python, DSA, and machine learning for global learners
- YouTube Educational Content: qxresearch AI (32,000+ views on Python & AI tutorials)
- Technical Writing: HackerNoon (21,000+ reads)
- Contact:
rohitmandal814566@gmail.com
Research Papers
- Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach. Link
- Variational Autoencoder-Based Imbalanced Alzheimer Detection Using Brain MRI Images. Link


