Shivam

During my college years, I worked as an assistant teacher and mentor for junior students in the AIML domain. My role involved helping students understand both theoretical concepts and practical implementation across various Artificial Intelligence and Machine Learning subjects.

I guided students in subjects such as Python programming, Data Structures & Algorithms basics, Mathematics for Machine Learning, Statistics, Data Analysis, NumPy, Pandas, Data Visualization, Machine Learning algorithms, Supervised and Unsupervised Learning, Deep Learning fundamentals, Neural Networks, CNNs, NLP, Computer Vision, Image Processing, Generative AI basics, APIs, chatbot development, and backend integration concepts.

I also helped students with mini-projects, debugging code, explaining ML workflows, understanding model training concepts, and building practical AI-based applications. Along with technical mentoring, I assisted them in improving logical thinking, problem-solving approaches, and understanding real-world AI use cases.

This experience significantly improved my communication, leadership, and teaching abilities while also strengthening my own technical depth in AI/ML through continuous learning and mentoring.