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Scattered Thoughts: Developing Habits

3 minute read

2021-10-24

When COVID-19 just started and got us locked in, I started reading a bit, hoping to learn something new outside of academia. I ended up choosing some self-improvement books and read this book named Atomic Habits: An Easy & Proven Way to Build Good Habits & Break by James Clear. In short, I was very lucky to have found this book and actually finished the book—it will CHANGE your life.

Scattered Thoughts: My Lessons Learned on Teaching

4 minute read

2021-10-24

I have been teaching at the university level for quite some time and I cherished every moment of my experience. When it comes to teaching, I wholeheartedly put my efforts in creating and delivering interesting tutorials/lectures. As an educator, I see myself as a pacemaker, enabling my students to excel—academically or somewhere else. Teaching also requires a completely different feat—you need to be very articulate, concise in your wording, and have the ability to view a concept in different ways. These things are kind of expected when I signed up to teach, but not the following until I became an instructor…

Scattered Thoughts: Losing Weight

10 minute read

2022-01-24

This blog post will be about my weight-loss journey which I started during COVID-19. In general, I lost about 22kg over five months while, hopefully, losing as little muscle as possible during the process. This journey is still in progress and I still have a lot to learn—in fact, this is probably something I will be continuing for the remaining of my life. Nevertheless, I feel this experience would motivate other folks for their goals and dreams.

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teaching

Teaching Assistant

Undergraduate Courses, University of Toronto, 2016

  • Algorithm Design and Analysis - CSCC73 (Fall 2017)
  • Artificial Intelligence - CSCD84 (Winter 2019, Winter 2020)
  • Calculus II for Physical Science - MATA36 (Winter 2016)
  • Calculus for Management II - MATA33 (Winter 2017, Winter 2018)
  • Calculus for Management I - MATA32 (Fall 2016, Fall 2017)
  • Computability and Computational Complexity - CSCC63 (Winter 2017)
  • Design and Analysis of Data Structures - CSCB63 (Winter 2018)
  • Discrete Mathematics - CSCA67 (Fall 2016, Fall 2017)
  • Introduction to Artificial Intelligence - CSC384 (Winter 2019)
  • Introduction to Computer Science - CSCA08 (Fall 2018)
  • Introduction to Machine Learning - CSCC11 (Fall 2018, Winter 2020)
  • Introduction to the Theory of Computation - CSCB36 (Summer 2017, Fall 2017)
  • Linear Algebra I for Mathematical Sciences - MATA22 (Winter 2018)
  • Principles of Programming Languages - CSCC24 (Winter 2017, Winter 2018)

Sessional Lecturer

Undergraduate Courses, University of Toronto, 2020

  • Introduction to Machine Learning - CSCC11 (Fall 2020, Winter 2021, Winter 2022)

Teaching Assistant

Undergraduate/Graduate Courses, University of Alberta, 2022

  • Algorithms I - CMPUT 204 (Fall 2022)
  • Introduction to Reinforcement Learning - CMPUT 365 (Fall 2023)
  • Machine Learning - CMPUT 466/566 (Winter 2023, Winter 2024)
  • Topics in Reinforcement Learning I - CMPUT 655 (Fall 2023)