I believe in making complex topics like machine learning and AI easy to understand. My teaching style is practical and hands-on. I explain concepts step by step, using real-world examples. I help students understand not just the theory but also how to apply it in real projects. I focus on building strong basics before moving to advanced topics like GenAI, RAG, and AI agents. What makes me a good teacher is my patience, the way I adjust my teaching to each student's level, and how I make learning interesting and useful for their future.

Subjects

AI & ML Grade 10-Bachelors/Undergraduate
MLOps Grade 10-Masters/Postgraduate
GenAI Grade 12-Bachelors/Undergraduate
RAG (Retrieval-Augmented Generation) Grade 10-Bachelors/Undergraduate

Experience

Machine Learning Engineer (Aug, 2024–Mar, 2026) at 02 year above experience in online tutoring

Machine Learning Engineer | Generative AI Applications | Retrieval-Augmented Generation (RAG) | ML Deployment | Docker Image

Education

AWS AI Practitioner (Jan, 2026–Jan, 2026) from AWS cloud
Data Science and Machine Learning (Mar, 2023–Sep, 2023) from NIIT, Pune
Mechanical Engineering (Jul, 2017–Dec, 2020) from Vignana bharathi institute of technology, gatkesar, hyderabad

Fee details

₹200–800/hour (US$2.11–8.42/hour)

Courses offered

Data Science and Machine Learning
- US$120
- Duration: 3 Weeks
- Delivery mode: Online
- Group size: 5
- Instruction language: English
- Certificate provided: No
This course provides a complete, hands-on introduction to Data Science and Machine Learning, covering everything from data preprocessing and exploratory data analysis to building and evaluating predictive models. You will learn key concepts in statistics, machine learning algorithms, and model optimization using real-world datasets.

The course also focuses on practical deployment skills, teaching you how to take models from development to production using tools like Flask, APIs, and cloud platforms. By the end, you will be able to build end-to-end machine learning solutions and deploy them as scalable applications.