Bindeshwar S. Kushwaha Machine Learning, Deep Learning, GenA.I. and LLMS
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I am an AI researcher and educator passionate about simplifying complex concepts in Machine Learning, Deep Learning, and Generative AI for learners at all levels. With years of hands-on experience in building and deploying AI models, I not only teach the theory behind algorithms but also guide students through real-world projects that strengthen practical skills.

My teaching philosophy revolves around:
✔ Breaking down complex topics into simple, intuitive steps
✔️ Blending mathematical foundations with hands-on coding
✔️ Encouraging project-based learning so you can showcase skills in your portfolio
✔️ Staying updated with the latest AI trends (e.g., LLMs, Transformers, Generative Models)

What I Teach

Machine Learning (ML): Supervised & Unsupervised Learning, Decision Trees, Ensemble Models, Feature Engineering, Model Optimization

Deep Learning (DL): Neural Networks, CNNs, RNNs, LSTMs, Transformers, Autoencoders

Generative AI (GenAI): Large Language Models (LLMs), Prompt Engineering, Fine-tuning, Chatbot Development, Image Generation (GANs, Diffusion Models)

Practical Tools & Frameworks: Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, OpenAI APIs

Capstone Guidance: End-to-end ML pipelines, AI-powered apps, deploying models on Raspberry Pi/Cloud

Why Learn with Me?

I adapt to your learning pace and background (beginner, intermediate, or advanced).

I provide structured notes, coding notebooks, and real-world datasets.

You’ll gain skills not just to pass exams or interviews, but to build your own AI projects confidently.

I focus on career growth – from academic projects to industry-ready skills.

My Students Learn To:

Solve ML problems from scratch

Build and train deep learning models

Understand and implement Generative AI applications

Apply AI in domains like education, healthcare, business, and robotics

Prepare for interviews, research work, or launching their own AI startups

Whether your goal is to crack exams, publish research, master AI tools, or land a top job in AI/ML, I’ll guide you step by step to achieve it.

Subjects

  • CNN (Convolutional Neural Network) Masters/Postgraduate

  • ANN (Artificial Neural Networks) Masters/Postgraduate

  • Recurrent Neural Network Masters/Postgraduate

  • Generative AI Masters/Postgraduate

  • Large Language Models (LLMs) Fine-tuning Masters/Postgraduate

Experience

  • Instructer (Jun, 2018–Present) at PostNetwork Academy
    Creating content related to AI/ML.

Education

  • Doctor of Philosophy (Mar, 2013–Nov, 2019) from Banaras Hindu University, Varanasi

Fee details

    ₹200–250/hour (US$2.11–2.63/hour)

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