Khaing Mon
About Khaing Mon
Khaing Mon is a Software Engineer Intern at Gemini and a Teaching Assistant at Stanford University. She has a background in Symbolic Systems from Stanford and experience in data science, research, and educational content development.
Current Role at Gemini
Khaing Mon currently works as a Software Engineer Intern at Gemini, a well-known cryptocurrency exchange platform. Khaing began this role in 2022, contributing to various software engineering tasks. The internship at Gemini allows Khaing to gain practical experience in a fast-paced fintech environment, addressing challenges related to cryptocurrency transactions, security, and user experience enhancement.
Teaching Assistant at Stanford University
Khaing Mon holds a position as a Teaching Assistant for the Minds and Machine course at Stanford University. This role involves helping to educate students about the intersection of cognitive science and artificial intelligence. Khaing has been in this role since 2021, assisting with course material development, student queries, and tutorials.
Education at Stanford University
Khaing Mon attended Stanford University from 2019 to 2023, earning a Bachelor of Science in Symbolic Systems. This interdisciplinary program integrates computer science, linguistics, philosophy, and psychology, providing a comprehensive understanding of cognitive systems and artificial intelligence.
Data Science Internship at The Commons XR
In 2022, Khaing Mon worked as a Data Science Intern at The Commons XR, a company specializing in extended reality technologies. During this three-month internship, Khaing contributed to various data science projects, helping to advance the company's capabilities in integrating and analyzing extended reality data.
Research Experience at Haroush Lab
Khaing Mon served as a Research Assistant at Haroush Lab from 2020 to 2021, focusing on neuroscience and AI applications. This nine-month tenure involved participating in research projects aimed at exploring the intersection of neuroscience and artificial intelligence, contributing to the understanding and development of AI-driven neuroscientific solutions.