Era Context & Historical Background
In 2004 at IIT Roorkee, Rohit initiated his foundational work in Artificial Intelligence. Without high-level frameworks like PyTorch or TensorFlow, he implemented feedforward multi-layer perceptron (MLP) architectures and backpropagation algorithms directly in C language.
Project Mentorship & Guidance
Dr. Sunil Padhi
HOD, Electrical Engineering Department, IIT Roorkee
Under the academic mentorship and guidance of Dr. Sunil Padhi at IIT Roorkee, Rohit developed ground-up neural network backpropagation algorithms in C language for solar sunspot cycle forecasting.
Key Technical Breakthroughs & Architecture
Ground-Up Neural Network C Architecture
Designed custom C pointers, matrix multiplication functions, and weight update loops for feedforward neural networks.
Solar Sunspot Cycle Modeling
Trained backpropagation networks on 200+ years of historical solar sunspot numerical datasets to predict 11-year solar activity spikes.
Memory-Efficient C Execution
Optimized heap allocation and matrix array pointers to execute model iterations efficiently on early computing hardware.
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Author & Architect
Rohit
AI & Data Science Consultant
2+ Decades AI ExperienceFirst project in AI & ANN in 2004 at IIT Roorkee under the mentorship of Dr. Sunil Padhi (HOD, Electrical Department), writing neural network backpropagation in C language to predict solar sunspots. Today designing stateful Agentic AI networks at rcode.in.
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