Asmi Kumar
About Asmi Kumar
Asmi Kumar is a Software Engineering Intern at Inkeep in New York, New York, and has extensive experience in various research and technical roles at prestigious institutions including MIT, Harvard, and Stanford.
Work at Inkeep
Asmi Kumar has been working at Inkeep as a Software Engineering Intern since 2024. This role is based in New York, New York, United States. During this internship, Asmi is involved in software development tasks that contribute to the company's projects and initiatives.
Current Positions at MIT
Asmi Kumar holds multiple positions at the Massachusetts Institute of Technology (MIT). Since 2023, Asmi has served as a Lab Assistant in the Electrical Engineering and Computer Science (EECS) department. Additionally, Asmi has been working as a Teaching Assistant in the same department since 2023. As an Undergraduate Researcher at the Computer Science and Artificial Intelligence Laboratory (CSAIL) since 2020, Asmi engages in research activities that support ongoing projects.
Previous Internships and Research Experience
Asmi Kumar has gained diverse experience through various internships and research roles. In 2021, Asmi worked as a Data Science Intern at Harvard University for two months. In 2023, Asmi served as an AI/ML Engineering Intern at Conservation X Labs for two months. Asmi also held a position as an AI Student Researcher at Stanford University in 2019. Asmi was an MIT Research Science Institute Scholar in 2021, contributing to research initiatives.
Educational Background
Asmi Kumar completed high school at Milton High School, graduating as Valedictorian and STAR Student with a High School Diploma in 2022. Asmi studied Mathematics and Computer Science at the Georgia Institute of Technology from 2019 to 2022. Currently, Asmi is pursuing a Bachelor of Science in Computer Science and Engineering at the Massachusetts Institute of Technology, expected to graduate in 2025.
Technical Skills and Projects
Asmi Kumar has developed technical skills in artificial intelligence and machine learning. Notable projects include fine-tuning Meta AI and OpenAI models to generate metadata labels for question-and-answer pairs. Asmi has also engineered a solution for FAQ generation using embeddings and vector similarity methods to identify similarities in question datasets. Additionally, Asmi has analyzed user questions and bot-generated answers using large language models and leveraged high-performance computing through Anyscale.