Teaching

I have taught courses in computer science and engineering, electrical and computer engineering, and mathematics across more than ten institutions in India and the United States, spanning undergraduate, postgraduate, corporate training, and continuing education programs. Over the years, I have taught more than 3,000 students.

My courses are built on first-principles understanding, combining theoretical depth with hands-on programming. I emphasize rigorous problem-solving and algorithmic thinking, and design curricula aligned with international standards.

Current Courses

• BITS Pilani WILP (2025-26)

  • Algorithm Design

  • Graph Neural Networks

  • Discrete Structures for Computer Science

  • Data Structures and Algorithm Design

  • Mathematical Foundations for Data Science

  • Mathematical Foundations for Machine Learning

• IIIT Surat (2025-26)

  • Design and Analysis of Algorithms

  • Mathematical Foundations of Data Science

  • Data Science

• Training Programs

  • Hybrid Training Programme on "Mathematical Foundations of AI and Machine Learning" — 15-week program, inaugurated February 2026.

  • AICTE-QIP-PG Certificate Programme on Machine Learning, IIIT Surat — Resource Person, July–December 2024.

• Corporate and Institutional Training

  • Dr. Reddy's Laboratories — Corporate Training in AI and ML, 2021.

  • Fractal Analytics — Corporate Training in Algorithms, 2021.

  • Rennes School of Business, France — module on Publishing and Thought Leadership for the DBA program, 2022–2023.

  • Case Western Reserve University, USA — delivered courses for the M.S. in Computer and Data Sciences, 2022.

• Mentoring and Academic Leadership

• Research mentoring of MTech project students and Project Associates at IIT Madras CyStar, on topics including GNN-based fraud detection, GNN explainability, and synthetic blockchain data generation.

• Coached a team to the ACM ICPC Asia Regional Contest, Manipal University Jaipur, 2016.

• Coordinated a Hackathon on Problem Solving and Programming for 5,000 students, VIT, 2017.

• Achieved a six-fold increase in program enrollment at one institution from 2022 to 2024 through curriculum development and outreach.

• Delivered precalculus bridge courses to address learning gaps from pandemic-era disruptions, 2022–2024.

Previous Courses

Served as an Instructor for the following courses:

• ATLAS SkillTech University, Mumbai, Maharashtra

  • • Introduction to Algorithms

    • Mathematics for Computer Science

    • Data Structures

    • Games and Puzzles

    • Linear Algebra

    • Calculus - 1

    • Introduction to Computer Science and Programming Using Python - 1

    • Introduction to Computer Science and Programming Using Python - 2

    • Introduction to Computer Science and Programming 1

• International School of Engineering (INSOFE, acquired by upGrad), Mumbai, Maharashtra

  • • Mathematics for Computer Science

    • Data Structures

    • Graphs and Data Science

    • Methods and Algorithms in Machine Learning

    • Introduction to Computer Science and Programming Using Python - 1

    • Introduction to Computer Science and Programming Using Python - 2

    • Calculus Demystified - 1

    • Calculus Demystified - 2

    • Calculus Demystified - 3

    • Data Structures and Algorithms

    • Advanced Data Structures and Algorithms

    • Foundations of Computer Science

    • Creating Value from Research (module on Publishing and Thought Leadership)

    • Advanced Python Programming for Data Science

• Vellore Institute of Technology, Vellore, Tamilnadu

  • • Data structures and algorithms (theory, labs, and projects)

    • Applied discrete mathematical structures

    • Problem solving and programming

    • Theory of computation and compiler design

    • Discrete mathematics and graph theory

• Manipal University Jaipur, Rajasthan

  • • Data structures

    • Data structures and algorithms

    • Engineering mathematics III (discrete mathematics)

• Vidyalankar Institute of Technology, Mumbai, Maharashtra

  • • Analysis of algorithms

    • Circuits and transmission lines

    • Microprocessors

    • Random signal analysis

• Amrita School of Engineering, Coimbatore, Tamilnadu

  • • Calculus, matrix algebra, and ordinary differential equations

    • Vector calculus, Fourier series, and partial differential equations

    • Trigonometry and differential equations

    • Mathematical statistics and numerical methods

    • Discrete Mathematics

    • Probability and statistics

    • Complex variables and partial differential equations

    • Mathematical foundations of computer science

• K. J. Somaiya College of Engineering, Mumbai, Maharashtra

  • • Data structures and algorithms

    • Wireless networks

    • Information and network security

    • Convergence of technologies and networking in communication

    • Mobile computing

    • Networking technologies for digital devices

• Fr. C. Rodrigues Institute of Technology, Navi Mumbai, Maharashtra

  • • Computer Networks

    • Mobile Computing

Served as a Teaching Assistant for the following courses:

• UW-Madison

  • • ECE 170: Introductory Electronics Laboratory

    • ECE 230: Circuit Analysis

    • ECE 330: Signals and Systems

    • ECE 331: Introduction to Random Signal Analysis and Statistics

    • ECE 332: Feedback Control Systems

    • ECE 431: Digital Signal Processing

    • MATH 210: Finite Mathematics

    • MATH 114: Algebra and Trigonometry

• UC-Berkeley

  • • EE 100: Electronic Techniques for Engineering

    • EE 42: Introduction to Digital Electronics

    • EE 20N: Structure and Interpretation of Systems and Signals

• Marquette University

  • • PHYS 004: General Physics with Introductory Calculus 2

    • PHYS 003: General Physics with Introductory Calculus 1