Rohit P Mandal / ​Homepage​ / Twitter / ​LinkedIn​ / ​Google Scholar​ / ​LeetCode​ / ​YouTube​

I am an Applied Machine Learning developer focused on building scalable machine learning solutions using Python, deep learning, and open-source systems. I have served as a Section Leader for Stanford Code in Place (CS106A), mentoring global learners in Python and computational thinking.

I have provided structured mentoring to international learners in programming fundamentals, data structures, and machine learning, supporting their academic development and technical interview preparation. My work includes developing and maintaining open-source AI projects used by a global community.

I have published research in applied machine learning, including Springer proceedings on Alzheimer’s detection using brain MRI images and CNN-based approaches for 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