I am open for new opportunities and experiences!
Email: contactjameshan@gmail.com
James Han
I like to learn AI and build cool stuff. 💻
Hi 👋 my name is James, and I am an incoming graduate student at The University of Texas at Dallas. Currently as a software engineer, I have been privileged to work at prestigious companies such as @samsung and @amazon.
I am developing and learning AI focusing on Natural Language Processing. I'm passionate about exploring the future of AI and want to make an impact to the world.
Timeline
Learning...
2024 - ?
Learning about Deep Learning and NLP through Andrew Ng's Deep Learning course and Andrej Kapathy's course.
Univeristy of Texas at Dallas
2024 - Future
Going back for Masters in Computer Science, focusing on Intelligent Systems (AI, ML, NLP).
Amazon
2024 June - Present
I am a Software Development Intern at Amazon, working with Kindle Team.
Univeristy of Texas at Dallas
2020 - 2024
Graduated B.Sc. for Computer Science, where I Researched under Prof. Latifur Khan as an Undergraduate, working on Imbalanced Data Classification with LLM.
Samsung Research America
2023 Aug - 2024 May
Came back to Samsung as SWE Intern to continue to 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.
Amazon
2023 May - Aug
Went to Amazon for Software Development Internship and worked with Recruiting Engine Team.
Samsung Research America
2022 May - 2023 May
Software Engineer Intenrnshp at Team NEON, working on Aritficial Human Assistant. Prototyped and created packages and full stack applications for NEON system.
ACM UT Dallas
2022 Jan - 2022 May
Worked as Undergraduate Researcher, 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.