I’m passionate to teach with a strong academic background in physics, Math engineering, and AI.

I hold advanced degrees in Physics and Engineering, with over 10 years of experience in industry and mentoring students at various academic levels—ranging from school and college students to competitive exam aspirants (particularly IIT-JEE, GATE, CSIR-NET, JEST) and professionals. I’ve also worked extensively in AI, data science, and scientific computing, which allows me to offer a unique interdisciplinary teaching approach. My key skills include: Physics (Classical, Modern, Nuclear, Quantum, etc.) Mathematics (Algebra, Calculus, Linear Algebra, etc.) Programming (Python, C++, FORTRAN) AI/ML (YOLO, neural networks, computer vision) Research writing and academic mentoring My teaching method is student-centric and application-driven: I begin by identifying the learner’s current level, goals, and learning style. I use visual aids, real-life analogies, interactive simulations, and structured notes to simplify complex concepts. For technical topics, I incorporate problem-solving, coding walkthroughs, and conceptual testing. I regularly assess progress through quizzes, live problem-solving, and project-based learning (especially for advanced learners). My aim is not just to help students score well, but to build deep understanding, analytical thinking, and confidence in the subject. Every session is tailored, paced, and designed to make learning intuitive and result-oriented.