Shrey Pandit

Teaching Assistant - CS330E: Elements of Software engineering - Dec '24

@ UT Austin
  • Held regular office hours to help students with their questions and clear any doubts, making sure they understood the material better.
  • Reviewed and graded assignments, quizzes, and projects fairly and consistently, giving feedback to help students improve their work.
  • Facilitated in smooth completion of the coursework through the semester, with tasks like evaluation, and proctoring

Instructor for Intro to Machine Learning and Deep Learning - Jan '21

@ CTE BITS Goa
  • Delivered lectures on Machine Learning and Deep Learning to students from different semesters, tailoring the content to match their knowledge levels and ensuring complex concepts were explained in an easy-to-understand manner.
  • Designed tests and coding notebooks to assess students' understanding and practical skills, focusing on real-world applications and problem-solving approaches.
  • Managed all aspects of the course, including planning the syllabus, organizing learning materials, and coordinating with students to ensure smooth course progression and effective learning outcomes.

Instructor for Introduction to Deep Learning - May '21

@ QSTP 2021
  • Taught a comprehensive Deep Learning course to over 300 students from multiple campuses across India within a span of 2 months, effectively managing a diverse audience with varying levels of prior knowledge.
  • Developed and delivered content that spanned from foundational topics such as basic Python programming to advanced subjects, including Convolutional Neural Networks (CNN) and Natural Language Processing (NLP) applications, ensuring a progressive learning experience.

Community and Leadership

President at Society for Artificial Intelligence and Deep learning (SAiDL)

  • Served as the president of the AI group at BITS-Goa, dedicated to promoting knowledge and learning in the field of Machine Learning among students, fostering a vibrant community of tech enthusiasts.
  • Actively organized and participated in brainstorming sessions on emerging Machine Learning trends, encouraging collaborative discussions and innovative problem-solving approaches.
  • Facilitated reading sessions where members presented and discussed cutting-edge research papers, ensuring that the group stayed updated with the latest advancements and breakthroughs in Machine Learning.
  • Contributed to open-source projects initiated by the group, collaborating with fellow members to develop practical solutions and applications, thereby gaining hands-on experience in real-world ML implementations.

Student Mentor

  • Mentored newly inducted first-year students, helping them adapt to the campus environment and easing their transition into university life by providing guidance and support on both academic and non-academic matters.
  • Offered personalized assistance in navigating the curriculum and managing coursework, ensuring that students built a strong academic foundation in their first year.