Fengli Wu

About

I'm a second-year MS student at UNC-Chapel Hill, with extensive engineering and research experience in AI. I'm actively exploring diverse AI frontiers, including Multimodal LLMs, AI Agent Systems, Edge AI Computing, and more.

I'm a First Principles thinker and doer.

Follow @FengliWu
Email: fengliwu [AT] cs.unc.edu

Experience

MS Student @ University of North Carolina at Chapel Hill (UNC)

Aug 2024 - Present

Multimodal AI, Efficient Deep Learning, Robot Learning, Deep Learning, Statistical Deep Learning, Embedded Intelligent Systems, Edge AI Systems, Computer Architecture for Brain-Computer Interfaces, Information Retrieval (RAG), Data Mining, Distributed Systems

Show More Show Less

Research Assistant @ UNC Dept of Computer Science

May 2025 - Present

Multimodal LLM Unlearning, Multimodal AI Agents @ MURGe-Lab (UNC AI Group) w/ Prof. Mohit Bansal, Prof. Jaehong Yoon, and Dr. Yue Zhang

Show More Show Less

Research Assistant @ UNC SILS (iSchool)

May 2025 - Present

Multimodal Embedded Edge AI Systems w/ Prof. Arcot Rajasekar

Show More Show Less

Machine Learning Engineer Intern @ Nexa AI

May 2025 - Oct 2025

Efficient Multimodal AI Models, Nexa SDK for On-Device AI Inference

Show More Show Less

Research Assistant @ UNC SILS (iSchool)

Dec 2024 - Sep 2025

Multimodal Agentic RAG Systems @ Human and Machine Intelligence Lab w/ Prof. Yue Wang

Show More Show Less

Cross-Registered Grad Student @ Duke University School of Engineering

Aug 2024 - May 2025

Sensor Array Signal Processing, Signal Processing and Applied Mathematics, Information Theory

Show More Show Less

Machine Learning Engineer Intern @ Volvo Cars R&D

Feb 2024 - Aug 2024

Transformer-Based Multivariate Time Series Models, End-to-End Machine Learning Pipelines, Data Infrastructure

Show More Show Less

Undergraduate Student @ Shanghai University

Sep 2020 - Jun 2024

Computer Vision, Machine Learning, Data Science, Internet of Things, Operations Research, Data Warehouse, Game Theory, Financial Computing and Programming, Systems Analysis and Design, Data Structures and Algorithms, Advanced Program Design, Statistics, Databases, Economics, Cognitive Science

Show More Show Less

Data Science Intern @ HelloRide

Jun 2023 - Dec 2023

Spatio-Temporal Forecasting Models, Big Data Pipelines, A/B Tests

Show More Show Less

Student Researcher @ Shanghai University

Jun 2023 - Sep 2023

Genetic Algorithm Optimization

Show More Show Less

Data Analytics Intern @ Aon

Jun 2022 - Feb 2023

Data Pipelines, Statistical Analysis, Web Development

Show More Show Less

Misc

I won third place in a 256-player Yu-Gi-Oh! Official National League Tournament using a non-meta, self-built Qliphort deck at the age of 15. Yu-Gi-Oh! is widely recognized as one of the hardest trading card games (TCG) in the world.
I captained the Chinese & International Student Union Basketball Team at Shanghai University.