• Using LLM to enhance customer return experience at Amazon.

• Conducted leading-edge research in Deep Learning, identifying emerging research challenges and opportunities in the field. Facilitated research direction and idea exchange by hosting a weekly paper reading group.

• Designed and executed extensive experiments to validate hypotheses, resulting in 10 published papers at top AI conferences (NeurIPS, ECCV, AAAI, ICASSP, MobiCom). Effectively communicated research findings through concise, well-written academic papers and conference presentations.

• Supported course instructors by organizing weekly class recitations, grading assignments, and holding office hours. Mentored and assisted over 200 students in foundational and advanced Computer Engineering courses.

• Developed a groundbreaking method to safeguard user images from identity theft and copyright infringement when exposed to generative diffusion models.

• Demonstrated exceptional performance of our proposed approach, surpassing the existing state-of-the-art protection methods both qualitatively and quantitatively.

• Achieved remarkable efficiency gains with a 150-fold increase in processing speed compared to existing solutions, while simultaneously reducing memory consumption by 2.6 times.

• Led end-to-end development of an ML pipeline for data collection, labeling, and DNN model training, enabling efficient ID card information extraction. Guided the launch of a company-wide in-house ID product benefiting over 10 million users.

• Spearheaded standardization efforts across AI datasets and models, resulting in a 50% reduction in ML Life Cycle time.

• Implemented a secure in-house server for data labeling, successfully processing and annotating 20,000 high-quality data points, yielding over $100,000 in cost savings. Simultaneously, enhanced Optical Character Recognition model performance by 10%, achieving competitive levels.

• Installed, upgraded, maintained, and ensured smooth operation of over 100 PCs, Macs, printers, projectors, and mobile devices.

• Provided top-notch customer support and resolved client issues in person, via phone, and remote desktop connections for more than 100 staff and faculties with a wide range of technical backgrounds.

• Performed diagnostics and troubleshooting system issues, documented help desk tickets/resolutions, and maintained equipment inventory lists.

• Planned a 7-day-long orientation program for more than 2000 international students.

• Helped more than 1000 new students integrate into American academic culture via social events.

• [CVPR-23, 24] IEEE / CVF Computer Vision and Pattern Recognition Conference

• [ECCV-22, 24] European Conference on Computer Vision

• [NeurIPS 23, 24] Conference on Neural Information Processing Systems.

• [ISCAS-23] IEEE International Symposium on Circuits and Systems

• [AICAS-22] IEEE International Conference on Artificial Intelligence Circuits and Systems

Rutgers University, New Brunswick, NJ, USA

• [Fall 2022] Digital Logic Design

• [Spring 2022] Probability and Random Processes

• [Spring 2024] Introduction to Deep Learning