Fengli Wu

About

I'm a second-year MS student studying Computer and Information Science at UNC-Chapel Hill, with extensive industry 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
Reach out to me at X at Y dot Z (X=fengliwu, Y=unc, Z=edu).

Experience

Research Assistant @ UNC-Chapel Hill

May 2025 - Present

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

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Research Assistant @ UNC-Chapel Hill

May 2025 - Present

Multimodal Embedded Edge AI Systems w/ Prof. Arcot Rajasekar

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MS Student @ UNC-Chapel Hill

Aug 2024 - Present

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

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Member of Technical Staff Intern @ Nexa AI

May 2025 - Sep 2025

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

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Research Assistant @ UNC-Chapel Hill

Dec 2024 - Sep 2025

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

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Cross-Registered Student @ Duke University

Aug 2024 - May 2025

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

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Member of Technical Staff Intern @ Volvo Cars R&D

Feb 2024 - Aug 2024

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

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Undergraduate Student @ Shanghai University

Sep 2020 - Jun 2024

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

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Member of Technical Staff Intern @ HelloRide

Jun 2023 - Dec 2023

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

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Student Researcher @ Shanghai University

Jun 2023 - Sep 2023

Genetic Algorithm Optimization

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Member of Technical Staff Intern @ Aon

Jun 2022 - Feb 2023

Data Pipelines, Data Analysis, Web Development

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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.