Hi! I'm James, and I'm passionate about exploring the intersections of AI and human interaction. Currently, I'm pursuing my M.Sc. in Computer Science at The University of Texas at Dallas.
I've had the privilege of working at leading tech companies like Amazon and Samsung Research America.
My research journey began as an Undergraduate Researcher, where I worked on Imbalanced Data Classification with LLMs. I'm currently deepening my knowledge in Deep Learning and NLP through advanced coursework and independent study.
James Han
MS CS @ UT Dallas
Timeline
2024 - Current
Learning about Deep Learning and NLP through Andrew Ng's Deep Learning course and Andrej Karpathy's course.
2024 Sep - 2024 Dec
M.Sc. at Unversity of Texas at Dallas, majoring Computer Science, focusing on Intelligent Systems (AI, ML, NLP) and part of Graduate Research Assistant for Dr. Latifur Khan, working on LLM Fairness Research.
2024 June - 2024 Sep
Software Development Intern at Amazon, worked with Kindle Team.
2020 - 2024
B.Sc. at Unversity of Texas at Dallas majoring Computer Science, where I was an Undergraduate Researcher under Prof. Latifur Khan as an , working on Imbalanced Data Classification with LLM.
2023 Aug - 2024 May
Software Engineering Intern at Samsung Research America and work on NEON, an Aritficial Human Assistant. My work with the team got featured in Huge News Stations. Also helped prototyping new non-released projects.
2023 May - Aug
Software Development Intern at Amazon and worked with Recruiting Engine Team.
2022 May - 2023 May
Software Engineering Intern at Samsung Research America, working with Team NEON, Artificial Human Assistant. Prototyped and created packages and full stack applications for NEON system.
2022 Jan - 2022 May
Worked as Undergraduate Researcher at ACM Research in UT Dallas, researching Reinforcement Learning for Traffic Light Control under Dr. Yongwan Chun.
Research / Projects
Imbalanced Data Classification with LLM
Researched imbalanced data classification using PyTorch and Large Language Models using Google's T5-small model, advised by Dr. Latifur Khan.
FindResume.xyz
Launched a resume-sharing and discovery platform, attracting over 100+ daily visitors to create their dream resumes.
studywme.com
Aggregated 100+ YouTube “study-with-me” live streams every hour used by 50+ daily visitors through YouTube Rest API.
Reinforcement Learning for Traffic Light Control
Researched reinforcement learning for traffic optimization on arbitrary road maps and patterns, advised by Dr. Yongwan Chun.
Moments
Presenting at Samung Research America.
Intern picture at Amazon.
Intern picture at Samsung Research America, NEON Team.