2024–25 • B.Tech Data Science (3rd Year, IBM)
Traffic Sign Recognition Model
Mentored a student team on developing a computer vision model for traffic sign recognition.
Teaching & Education
Transforming AI education through experiential learning, industry relevance, and research-led instruction.
Teaching Philosophy
My approach to education blends rigorous theoretical foundations with practical, hands-on implementation. I aim to cultivate critical thinking and problem-solving skills, preparing students not just to use AI tools, but to understand their underlying mechanics and innovate upon them.
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Experiential Learning
Bridging theory and practice through real-world projects and coding assignments.
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Industry Relevance
Updating curriculum with the latest advancements in Deep Learning and computer vision frameworks.
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Research-Led Teaching
Integrating ongoing research challenges into classroom discussions to spark innovation.
Courses
Year 1 • B.Tech CSE
Introduction to Programming (CS101)
Foundations of programming, algorithmic thinking, and problem-solving using Python/C++.
Year 2 • B.Tech CSE
Data Structures & Algorithms (CS201)
Core data structures, algorithm analysis, sorting, and graph algorithms.
Year 2 • B.Tech CSE
Database Management Systems (CS301)
Relational algebra, SQL, normalization, and modern NoSQL databases.
Year 3 • B.Tech CSE
Machine Learning Fundamentals (CS401)
Supervised/unsupervised learning, linear models, decision trees, and model evaluation.
Year 3 • B.Tech CSE
Artificial Intelligence (CS402)
Search algorithms, knowledge representation, expert systems, and AI applications.
Year 4 • B.Tech CSE
Computer Vision Lab (CS501L)
Hands-on implementation of image processing and CNN models using OpenCV and PyTorch.
Project Guidance
2024–25 • B.Tech CCVT (4th Year, IBM)
Meeting Summarizer
Guided a student team in developing a tool using AI and Natural Language Processing techniques.
2024–25 • B.Tech Data Science (3rd Year)
Customer Segmentation for Investment Services
Supervised an internship project focusing on data-driven customer segmentation.
2025–26 • MCA (Data Science)
Role-Based Personalized Learning Pathway Engine
Mentoring a final-year project to build a personalized learning recommendation engine.
2025–26 • B.Tech CSE (Data Science)
Farmer's Friend: Instant Plant Disease Detection
Mentoring a student team on building a plant disease detection system using Machine Learning and Deep Learning models.
2025–26 • B.Tech (DevOps)
Risk-Aware CI/CD Pipeline with Security Scoring
Mentoring 3rd Year student teams on integrating security scoring into CI/CD pipelines.